Machine learning, neural and statistical classification

Discriminant Adaptive Nearest Neighbor Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence

Learning decision tree classifiers

ACM Computing Surveys (CSUR)

Information exploration shootout or “benchmarks for information exploration” (panel)

Proceedings of the 7th conference on Visualization '96

A Review and Empirical Evaluation of Feature Weighting Methods for aClass of Lazy Learning Algorithms

Artificial Intelligence Review - Special issue on lazy learning

Using Background Knowledge to Build Multistrategy Learners

Machine Learning - Special issue on multistrategy learning

Learning in the “Real World”

Machine Learning - Special issue on applications of machine learning and the knowledge discovery process

Theoretical Analysis and Improved Decision Criteria for the n-Tuple Classifier

IEEE Transactions on Pattern Analysis and Machine Intelligence

BOAT—optimistic decision tree construction

SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data

Forgetting Exceptions is Harmful in Language Learning

Machine Learning - Special issue on natural language learning

Classification and regression: money *can* grow on trees

KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Scalable algorithms for mining large databases

KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Estimating campaign benefits and modeling lift

KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Visual classification: an interactive approach to decision tree construction

KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Estimating generalization error using out-of-bag estimates

AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence

Meta Analysis of Classification Algorithms for Pattern Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

The evaluation of legal knowledge based systems

ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law

Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence

Privacy-preserving data mining

SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data

Evolving intelligent text-based agents

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents

Credit Risk Assessment Using Statistical and MachineLearning: Basic Methodology and Risk Modeling Applications

Computational Economics - Computational Studies at Stanford

Towards an effective cooperation of the user and the computer for classification

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Classification and visualization for high-dimensional data

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

On the Algorithmic Implementation of Stochastic Discrimination

IEEE Transactions on Pattern Analysis and Machine Intelligence

A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms

Machine Learning

Cascade Generalization

Machine Learning

Evolving and messaging decision-making agents

Proceedings of the fifth international conference on Autonomous agents

Learning with Nearest Neighbour Classifiers

Neural Processing Letters

Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria

IEEE Transactions on Pattern Analysis and Machine Intelligence

Real world performance of association rule algorithms

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Algorithms for the visualization of large and multivariate data sets

Self-Organizing neural networks

Unsupervised and supervised learning in radial-basis-function networks

Self-Organizing neural networks

Decision tree classification of spatial data streams using Peano Count Trees

Proceedings of the 2002 ACM symposium on Applied computing

Non-traditional applications of data mining

Data mining for design and manufacturing

Data mining with sparse grids

Computing

Four suggestions and a rule concerning the application of ILP

Relational Data Mining

Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF

Applied Intelligence

Progress in Intelligent Data Analysis

Applied Intelligence

Implementation and Evaluation of Decision Trees with Rangeand Region Splitting

Constraints

Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey

Data Mining and Knowledge Discovery

Parallel Formulations of Decision-Tree Classification Algorithms

Data Mining and Knowledge Discovery

RainForest—A Framework for Fast Decision Tree Construction of Large Datasets

Data Mining and Knowledge Discovery

Discovering Interesting Patterns for Investment Decision Making with GLOWER ◯-A Genetic Learner Overlaid with Entropy Reduction

Data Mining and Knowledge Discovery

PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning

Data Mining and Knowledge Discovery

Using Extra Output Learning to Insert a Symbolic Theory into a Connectionist Network

Minds and Machines

On predictive distributions and Bayesian networks

Statistics and Computing

Pasting Small Votes for Classification in Large Databases and On-Line

Machine Learning

A Simple Decomposition Method for Support Vector Machines

Machine Learning

Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates

Machine Learning

A perspective view and survey of meta-learning

Artificial Intelligence Review

A review of evidence of health benefit from artificial neural networks in medical intervention

Neural Networks

Data Mining: An Industrial Research Perspective

IEEE Computational Science & Engineering

Mining Very Large Databases

Computer

A Guide to the Literature on Learning Probabilistic Networks from Data

IEEE Transactions on Knowledge and Data Engineering

Effective Data Mining Using Neural Networks

IEEE Transactions on Knowledge and Data Engineering

An Instance-Weighting Method to Induce Cost-Sensitive Trees

IEEE Transactions on Knowledge and Data Engineering

Using k-nearest-neighbor classification in the leaves of a tree

Computational Statistics & Data Analysis

Training v-support vector regression: theory and algorithms

Neural Computation

An Empirical Study of MetaCost Using Boosting Algorithms

ECML '00 Proceedings of the 11th European Conference on Machine Learning

The Representation Race - Preprocessing for Handling Time Phenomena

ECML '00 Proceedings of the 11th European Conference on Machine Learning

A Comparison of Ranking Methods for Classification Algorithm Selection

ECML '00 Proceedings of the 11th European Conference on Machine Learning

Using Subclasses to Improve Classification Learning

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Estimating the Predictive Accuracy of a Classifier

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing

EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving

Reducing Rankings of Classifiers by Eliminating Redundant Classifiers

EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving

Parallel Implementation of Decision Tree Learning Algorithms

EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving

A Comparison between Neural Networks and Decision Trees

MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition

Feature Selection for a Real-World Learning Task

MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition

LTF-C - Neural Network for Solving Classification Problems

PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers

Learning and Evolution by Minimization of Mutual Information

PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature

A Linear-Bayes Classifier

IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence

Some Enhencements of Decision Tree Bagging

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Discovering Task Neighbourhoods Through Landmark Learning Performances

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection

PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery

Knowledge Discovery in Multi-label Phenotype Data

PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery

PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning

VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases

RainForest - A Framework for Fast Decision Tree Construction of Large Datasets

VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases

Modelling Classification Performance for Large Data Sets

WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management

SPRINT: A Scalable Parallel Classifier for Data Mining

VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases

Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer

AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making

Machine Learning for Data Mining in Medicine

AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making

A Memetic Pareto Evolutionary Approach to Artificial Neural Networks

AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Voting-Merging: An Ensemble Method for Clustering

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

XCS and the Monk's Problems

Learning Classifier Systems, From Foundations to Applications

Reduced Support Vector Selection by Linear Programs

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Discovery of Decision Rules by Matching New Objects Against Data Tables

RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing

Application of Normalized Decision Measures to the New Case Classification

RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing

RSES and RSESlib - A Collection of Tools for Rough Set Computations

RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing

A New Version of Rough Set Exploration System

TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing

Improving the Performance of Boosting for Naive Bayesian Classification

PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining

Making Knowledge Extraction and Reasoning Closer

PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications

Feature Selection for Meta-learning

PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Data Mining and Modeling in Scientific Databases

SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management

Music Structure Analysis and Its Application to Theme Phrase Extraction

ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries

A Proposal for Meta-Learning Through a Multi-Agent System

Revised Papers from the International Workshop on Infrastructure for Multi-Agent Systems: Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems

Adapting the Fitness Function in GP for Data Mining

Proceedings of the Second European Workshop on Genetic Programming

Investigating and Evaluating Behavioural Profiling and Intrusion Detection Using Data Mining

MMM-ACNS '01 Proceedings of the International Workshop on Information Assurance in Computer Networks: Methods, Models, and Architectures for Network Security

3D Shape Histograms for Similarity Search and Classification in Spatial Databases

SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases

Automated Selection of Interesting Medical Text Documents by the TEA Text Analyzer

CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing

Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications

Machine Learning and Its Applications, Advanced Lectures

A Study on the Effect of Class Distribution Using Cost-Sensitive Learning

DS '02 Proceedings of the 5th International Conference on Discovery Science

Improved Dataset Characterisation for Meta-learning

DS '02 Proceedings of the 5th International Conference on Discovery Science

Model Complexity and Algorithm Selection in Classification

DS '02 Proceedings of the 5th International Conference on Discovery Science

Efficient Data Mining by Active Learning

Progress in Discovery Science, Final Report of the Japanese Discovery Science Project

Biochemical Knowledge Discovery Using Inductive Logic Programming

DS '98 Proceedings of the First International Conference on Discovery Science

Discovering Conceptual Differences among People from Cases

DS '98 Proceedings of the First International Conference on Discovery Science

Boosting Cost-Sensitive Trees

DS '98 Proceedings of the First International Conference on Discovery Science

Iterative Naive Bayes

DS '99 Proceedings of the Second International Conference on Discovery Science

Divide and Conquer Machine Learning for a Genomics Analogy Problem (Progress Report)

DS '01 Proceedings of the 4th International Conference on Discovery Science

A Comparison of Genetic Programming Variants for Data Classification

IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis

A Mathematically Rigorous Foundation for Supervised Learning

MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems

Feature Weighted Ensemble Classifiers - A Modified Decision Scheme

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Genetic Algorithms for Multi-classifier System Configuration: A Case Study in Character Recognition

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Tree-Structured Support Vector Machines for Multi-class Pattern Recognition

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Parallel and Distributed Data Mining: An Introduction

Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD

Efficient Parallel Classification Using Dimensional Aggregates

Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD

Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines

Proceedings of the 23rd DAGM-Symposium on Pattern Recognition

An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Quantifying the Resilience of Inductive Classification Algorithms

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Rough sets and boolean reasoning

Granular computing

Iterative Bayes

Theoretical Computer Science

Rough sets perspective on data and knowledge

Handbook of data mining and knowledge discovery

Data reduction: feature selection

Handbook of data mining and knowledge discovery

Data mining tasks and methods: Classification: regression

Handbook of data mining and knowledge discovery

Machine learning

Handbook of data mining and knowledge discovery

Evolutionary computation

Handbook of data mining and knowledge discovery

Mining and monitoring evolving data

Handbook of massive data sets

Sheep pelt inspection

Machine vision for the inspection of natural products

Using machine learning for outcome prediction of patients with severe head injury

CBMS '97 Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97)

Relating clinical and neurophysiological assessment of spasticity by machine learning

CBMS '97 Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97)

A PCI Bus Based Correlation Matrix Memory and Its Application to k-NN Classification

MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems

The Automated Multidimensional Detective

INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization

LTF-C: architecture, training algorithm and applications of new neural classifier

Fundamenta Informaticae

ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets

IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium

A survey of evolutionary algorithms for data mining and knowledge discovery

Advances in evolutionary computing

References

Intelligent data analysis

References

Sourcebook of parallel computing

Agent Paradigm in Clinical Large-Scale Data Mining Environment

ICCI '03 Proceedings of the 2nd IEEE International Conference on Cognitive Informatics

Learning with mixtures of trees

The Journal of Machine Learning Research

Speeding up backpropagation using multiobjective evolutionary algorithms

Neural Computation

PaintingClass: interactive construction, visualization and exploration of decision trees

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Ensemble modelling or selecting the best model: Many could be better than one

Artificial Intelligence for Engineering Design, Analysis and Manufacturing

Learning in design: From characterizing dimensions to working systems

Artificial Intelligence for Engineering Design, Analysis and Manufacturing

A function-decomposition method for development of hierarchical multi-attribute decision models

Decision Support Systems

Introduction to the Special Issue on Meta-Learning

Machine Learning

On Data and Algorithms: Understanding Inductive Performance

Machine Learning

JRV: an interactive tool for data mining visualization

ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference

A vector quantization method for nearest neighbor classifier design

Pattern Recognition Letters

Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs

Applied Intelligence

Approximated measures in construction of decision trees from large databases

Design and application of hybrid intelligent systems

User driven exploration of system performance: the use of VRDM building blocks to create a custom made system management tool

Design and application of hybrid intelligent systems

A Two-Stage Classifier for Broken and Blurred Digits in Forms

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2

Learning Ensembles from Bites: A Scalable and Accurate Approach

The Journal of Machine Learning Research

Data-intensive analytics for predictive modeling

IBM Journal of Research and Development

Probability Estimates for Multi-class Classification by Pairwise Coupling

The Journal of Machine Learning Research

Decomposition methods for linear support vector machines

Neural Computation

Credit rating analysis with support vector machines and neural networks: a market comparative study

Decision Support Systems - Special issue: Data mining for financial decision making

A comparison of active classification methods for content-based image retrieval

Proceedings of the 1st international workshop on Computer vision meets databases

Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification

IEEE Transactions on Knowledge and Data Engineering

ELA—A new Approach for Learning Agents

Autonomous Agents and Multi-Agent Systems

On the Generalization Ability of GRLVQ Networks

Neural Processing Letters

Evolutionary approaches to fuzzy modelling for classification

The Knowledge Engineering Review

A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD)

Neural Processing Letters

Kernel density classification and boosting: an L2 analysis

Statistics and Computing

An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection

GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation

Localized classification

Statistics and Computing

Reliability and Validity in Comparative Studies of Software Prediction Models

IEEE Transactions on Software Engineering

Predicting relative performance of classifiers from samples

ICML '05 Proceedings of the 22nd international conference on Machine learning

Bit Reduction Support Vector Machine

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Training ν-Support Vector Classifiers: Theory and Algorithms

Neural Computation

Improving the Practice of Classifier Performance Assessment

Neural Computation

A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining

Computational Optimization and Applications

Bounds for validation

Fundamenta Informaticae

Multiclass boosting with repartitioning

ICML '06 Proceedings of the 23rd international conference on Machine learning

Working Set Selection Using Second Order Information for Training Support Vector Machines

The Journal of Machine Learning Research

Applications of inductive learning techniques: a survey in the Netherlands

AI Communications

Intelligent data analysis for medical diagnosis: using machine learning and temporal abstraction

AI Communications

Ensembles of Classifiers Based on Approximate Reducts

Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2000)

Class-dependent PCA, MDC and LDA: A combined classifier for pattern classification

Pattern Recognition

Saliency and semantic processing: Extracting forest cover from historical topographic maps

Pattern Recognition

Domain described support vector classifier for multi-classification problems

Pattern Recognition

Word segmentation of handwritten text using supervised classification techniques

Applied Soft Computing

An expert system for supervised classifier design: Application to Alzheimer diagnosis

Expert Systems with Applications: An International Journal

A weighted fuzzy classifier and its application to image processing tasks

Fuzzy Sets and Systems

Self-organizing learning array and its application to economic and financial problems

Information Sciences: an International Journal

Center particle swarm optimization

Neurocomputing

Self-generating prototypes for pattern classification

Pattern Recognition

Spatio-Temporal Approximate Reasoning over Complex Objects

Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)

Evolving Neural Network Ensembles by Minimization of Mutual Information

International Journal of Hybrid Intelligent Systems

Fast split selection method and its application in decision tree construction from large databases

International Journal of Hybrid Intelligent Systems - Hybrid Intelligence using rough sets

Optimizing combustion efficiency of a circulating fluidized boiler: A data mining approach

International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers from the KES2004 conference

Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming

Management Science

Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis

The Journal of Machine Learning Research

Software project economics: a roadmap

FOSE '07 2007 Future of Software Engineering

Double-blind evaluation and benchmarking of survival models in a multi-centre study

Computers in Biology and Medicine

Evaluating and Tuning Predictive Data Mining Models Using Receiver Operating Characteristic Curves

Journal of Management Information Systems

Short communication: Psychology with soft computing: An integrated approach and its applications

Applied Soft Computing

Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility

Applied Soft Computing

Perceptron and SVM learning with generalized cost models

Intelligent Data Analysis

Reducing decision tree fragmentation through attribute value grouping: A comparative study

Intelligent Data Analysis

An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks

Neural Processing Letters

A comparison of machine learning techniques for phishing detection

Proceedings of the anti-phishing working groups 2nd annual eCrime researchers summit

Efficient design of neural network tree using a new splitting criterion

Neurocomputing

Optimizing the data-dependent kernel under a unified kernel optimization framework

Pattern Recognition

Genetic algorithm and neural network

AIC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7

Identification and validation of predictive factors for glycemic control: neural networks vs. logistic regression

CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications

Frequency response method for terrain classification in autonomous ground vehicles

Autonomous Robots

Selection of the most efficient wavelength bands for discriminating weeds from crop

Computers and Electronics in Agriculture

Missing Data Imputation Techniques

International Journal of Business Intelligence and Data Mining

Innovation science: a primer

International Journal of Computer Applications in Technology

A theoretical and experimental account of n-tuple classifier performance

Neural Computation

Using ambiguity measure feature selection algorithm for support vector machine classifier

Proceedings of the 2008 ACM symposium on Applied computing

RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata

Fundamenta Informaticae - Special issue on DLT'04

Neural networks learning methods for image processing applications

ESPOCO'05 Proceedings of the 4th WSEAS International Conference on Electronic, Signal Processing and Control

Mindful: A framework for Meta-INDuctive neuro-FUzzy Learning

Information Sciences: an International Journal

Analysis-adjustment-synthesis networks

Connection Science

Selective generation of training examples in active meta-learning

International Journal of Hybrid Intelligent Systems - HIS 2007

Training neural networks for classification using growth probability-based evolution

Neurocomputing

Neural networks approaches for discovering the learnable correlation between gene function and gene expression in mouse

Neurocomputing

Support vector machines, Decision Trees and Neural Networks for auditor selection

Journal of Computational Methods in Sciences and Engineering - Intelligent Systems and Knowledge Management

Label ranking by learning pairwise preferences

Artificial Intelligence

On the Combination of Locally Optimal Pairwise Classifiers

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks

ECML '07 Proceedings of the 18th European conference on Machine Learning

Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning

PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases

Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for Discriminate Appropriately the Best Algorithm

ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II

Local Modelling in Classification

ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects

A Constructive Technique Based on Linear Programming for Training Switching Neural Networks

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II

Information-Theoretic Measures for Meta-learning

HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems

Hierarchical pathfinding and AI-based learning approach in strategy game design

International Journal of Computer Games Technology - Joint International Conference on Cyber Games and Interactive Entertainment 2006

Cross-disciplinary perspectives on meta-learning for algorithm selection

ACM Computing Surveys (CSUR)

DEA-Based Comprehensive Evaluation of Intelligent Knowledge

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03

Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space

Pattern Recognition

Particle swarm optimized multiple regression linear model for data classification

Applied Soft Computing

Hierarchical Classifiers for Complex Spatio-temporal Concepts

Transactions on Rough Sets IX

A generic multi-dimensional feature extraction method using multiobjective genetic programming

Evolutionary Computation

A Bayesian Approach for Estimating and Replacing Missing Categorical Data

Journal of Data and Information Quality (JDIQ)

Self-tuning query mesh for adaptive multi-route query processing

Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology

Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk

IEICE - Transactions on Information and Systems

Midpoint-Validation Method for Support Vector Machine Classification

IEICE - Transactions on Information and Systems

Boosting One-Class Support Vector Machines for Multi-Class Classification

Applied Artificial Intelligence

A new maximal-margin spherical-structured multi-class support vector machine

Applied Intelligence

Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins

Intelligent Data Analysis

Identification and modeling for non-linear dynamic system using neural networks type MLP

Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship

A new paradigm of humanoid robot motion programming based on touch interpretation

Robotics and Autonomous Systems

The Measurement of Distinguishing Ability of Classification in Data Mining Model and Its Statistical Significance

ICCS 2009 Proceedings of the 9th International Conference on Computational Science

A Case-Based Methodology for Feature Weighting Algorithm Recommendation

Proceedings of the 2005 conference on Artificial Intelligence Research and Development

A Similarity and Fuzzy Logic-Based Approach to Cerebral Categorisation

Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy

Letters: Adaptive binary tree for fast SVM multiclass classification

Neurocomputing

Model Comparison for the Detection of EEG Arousals in Sleep Apnea Patients

IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence

A Weighted Rough Set Approach for Cost-Sensitive Learning

RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Evolving strategies using the nearest-neighbor rule and a genetic algorithm

GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation

Thresholding for making classifiers cost-sensitive

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Isoline retrieval: An optimal sounding method for validation of advected contours

Computers & Geosciences

Unbiased assessment of learning algorithms

IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2

Is nonparametric learning practical in very high dimensional spaces?

IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2

Learning first-order definitions of functions

Journal of Artificial Intelligence Research

Learning first-order definitions of functions

Journal of Artificial Intelligence Research

Multi-prototype support vector machine

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Modified Recursive Least Squares algorithm to train the Hybrid Multilayered Perceptron (HMLP) network

Applied Soft Computing

The foundations of cost-sensitive learning

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2

On learning algorithm selection for classification

Applied Soft Computing

Classification of oncologic data with genetic programming

Journal of Artificial Evolution and Applications - Special issue on artificial evolution methods in the biological and biomedical sciences

Unique classifier selection approach for bagging algorithm

ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control

Impact of censoring on learning Bayesian networks in survival modelling

Artificial Intelligence in Medicine

Fast support vector machines for continuous data

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics

New support vector algorithms with parametric insensitive/margin model

Neural Networks

An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Constrained Learning Vector Quantization or Relaxed k-Separability

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Universal Learning Machines

ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II

Interactive exploration of fuzzy clusters using Neighborgrams

Fuzzy Sets and Systems

Colors of the past: color image segmentation in historical topographic maps based on homogeneity

Geoinformatica

On the Importance of Comprehensible Classification Models for Protein Function Prediction

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

A new information measure based on example-dependent misclassification costs and its application in decision tree learning

Advances in Artificial Intelligence

Loss functions to combine learning and decision in multiclass problems

Neurocomputing

Evolving hybrid ensembles of learning machines for better generalisation

Neurocomputing

A divide-and-conquer approach to the pairwise opposite class-nearest neighbor (POC-NN) algorithm

Pattern Recognition Letters

A comparison of traditional and Simple Artificial Immune System (SAIS) techniques in consumer credit scoring

International Journal of Artificial Intelligence and Soft Computing

The use of data mining techniques to classify styles and types of web-based information: generation of style sheets using data mining

AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence

Sparse Kernel ridge regression using backward deletion

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence

Boosting lite: handling larger datasets and slower base classifiers

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems

An optimization-based approach to patient grouping for acute healthcare in Australia

ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII

Input space transformations for multi-classifier systems based on n-tuple classifiers with application to handwriting recognition

MCS'03 Proceedings of the 4th international conference on Multiple classifier systems

High performance data mining

VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science

Data mining for data classification based on the KNN-fuzzy method supported by genetic algorithm

VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science

Human splice site identification with multiclass support vector machines and bagging

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Relevance and kernel self-organising maps

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Minimum classification error training in example based speech and pattern recognition using sparse weight matrices

Journal of Computational and Applied Mathematics

Active learning to support the generation of meta-examples

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Wrapping the Naive Bayes classifier to relax the effect of dependences

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning

Mining frequent itemsets in large data warehouses: a novel approach proposed for sparse data sets

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning

An iterative process for building learning curves and predicting relative performance of classifiers

EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence

A comparison of different off-centered entropies to deal with class imbalance for decision trees

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

Kernel matching reduction algorithms for classification

RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology

Integrated method of rough set and neural network and its application study

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3

Focusing solutions for data mining: analytical studies and experimental results in real-world domains

Focusing solutions for data mining: analytical studies and experimental results in real-world domains

Discriminant analysis for fast multiclass data classification through regularized kernel function approximation

IEEE Transactions on Neural Networks

Assessment of the risk factors of coronary heart events based on data mining with decision trees

IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering

On the use of genetic programming for the prediction of survival in cancer

Proceedings of the 12th annual conference on Genetic and evolutionary computation

POFGEC: growing neural network of classifying potential function generators

International Journal of Knowledge Engineering and Soft Data Paradigms

A meta-heuristic approach for improving the accuracy in some classification algorithms

Computers and Operations Research

A generic optimising feature extraction method using multiobjective genetic programming

Applied Soft Computing

Fast and Scalable Local Kernel Machines

The Journal of Machine Learning Research

Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning

Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence

A Newborn Screening System Based on Service-Oriented Architecture Embedded Support Vector Machine

Journal of Medical Systems

Estimating accuracy for text classification tasks on large unlabeled data

CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management

Feature subspace transformations for enhancing k-means clustering

CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management

From linear to non-linear kernel based classifiers for bankruptcy prediction

Neurocomputing

A framework for early warning and proactive control systems in food supply chain networks

Computers in Industry

A novel similarity-based crossover for artificial neural network evolution

PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I

A decision support system for cost-effective diagnosis

Artificial Intelligence in Medicine

Do we need whatever more than k-NN?

ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I

Parallel implementation of classification algorithms based on MapReduce

RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology

openModeller: a generic approach to species' potential distribution modelling

Geoinformatica

Auto-experimentation of KDD workflows based on ontological planning

ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II

A novel framework for multi-class classification via ternary smooth support vector machine

Pattern Recognition

An efficient algorithm for the incremental construction of a piecewise linear classifier

Information Systems

Exploring discrepancies in findings obtained with the KDD Cup '99 data set

Intelligent Data Analysis

Intrusion detection and response system generator: using transferred belief model

AEE'05 Proceedings of the 4th WSEAS international conference on Applications of electrical engineering

Perceptrons without output codes

SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization

Intrusion detection using neural based hybrid classification methods

Computer Networks: The International Journal of Computer and Telecommunications Networking

Support vector neural training

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

Prototype-based threshold rules

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

Drawing boundaries: using individual evolved class boundaries for binary classification problems

Proceedings of the 13th annual conference on Genetic and evolutionary computation

Predicting problem difficulty for genetic programming applied to data classification

Proceedings of the 13th annual conference on Genetic and evolutionary computation

Instance-based classifiers applied to medical databases: Diagnosis and knowledge extraction

Artificial Intelligence in Medicine

Estimating classifier performance with genetic programming

EuroGP'11 Proceedings of the 14th European conference on Genetic programming

Cloud-based malware detection for evolving data streams

ACM Transactions on Management Information Systems (TMIS)

Linear dimension reduction in classification: adaptive procedure for optimum results

Advances in Data Analysis and Classification

Using neural networks for marketing research data classification

MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering

A connectionist fuzzy case-based reasoning model

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence

Fuzzy pairwise multiclass support vector machines

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence

Pattern classification using a set of compact hyperspheres

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Remote sensing image fusion based on adaptive RBF neural network

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Case-Based label ranking

ECML'06 Proceedings of the 17th European conference on Machine Learning

Active learning with irrelevant examples

ECML'06 Proceedings of the 17th European conference on Machine Learning

Combining fuzzy cognitive maps with support vector machines for bladder tumor grading

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I

Classifier selection based on data complexity measures

CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications

Switching neural networks: a new connectionist model for classification

WIRN'05 Proceedings of the 16th Italian conference on Neural Nets

Meta-learning experiences with the mindful system

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I

Training multi-layer perceptrons using minimin approach

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I

Semivariogram applied for classification of benign and malignant tissues in mammography

ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II

Hifocon: object and dimensional coherence and correlation in multidimensional visualization

ISVC'05 Proceedings of the First international conference on Advances in Visual Computing

A quantitative comparison of different MLP activation functions in classification

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

An effective combination based on class-wise expertise of diverse classifiers for predictive toxicology data mining

ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications

K nearest neighbor edition to guide classification tree learning: motivation and experimental results

Data Mining

Special issue on repeatable results in software engineering prediction

Empirical Software Engineering

Identification of individualized feature combinations for survival prediction in breast cancer: a comparison of machine learning techniques

EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Model selection and assessment for classification using validation

RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I

Using dempster-shafer theory in MCF systems to reject samples

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems

Meta-data: characterization of input features for meta-learning

MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence

Comparison of FLDA, MLP and SVM in diagnosis of lung nodule

MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition

Rule extraction from trained support vector machines

PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

Exploring hierarchical rule systems in parallel coordinates

IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis

Improved pairwise coupling support vector machines with correcting classifiers

MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence

A landmarker selection algorithm based on correlation and efficiency criteria

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence

Face recognition with improved pairwise coupling support vector machines

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Dynamic and contextualised behavioural knowledge in autonomic communications

WAC'04 Proceedings of the First international IFIP conference on Autonomic Communication

Cost-Sensitive design of claim fraud screens

ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications

Automatic recommendation of classification algorithms based on data set characteristics

Pattern Recognition

Multiobjective evolutionary induction of subgroup discovery fuzzy rules: a case study in marketing

ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining

Connectionist approaches for predicting mouse gene function from gene expression

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I

Using representation choice methods for a medical diagnosis problem

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III

The rough set exploration system

Transactions on Rough Sets III

Approximate boolean reasoning: foundations and applications in data mining

Transactions on Rough Sets V

Reduced attribute oriented inconsistency handling in decision generation

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

A comparison of model selection methods for multi-class support vector machines

ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV

Exploring the way for meta-learning with the MINDFUL system

WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications

Hybrid artificial immune algorithm and CMAC neural network classifier for supporting business and medical decision making

ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II

Classification approach for reliability-based topology optimization using probabilistic neural networks

Structural and Multidisciplinary Optimization

Usage of data mining techniques on marketing research data

ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science

A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets

Artificial Intelligence in Medicine

A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders

Artificial Intelligence in Medicine

A dynamic model selection strategy for support vector machine classifiers

Applied Soft Computing

Detecting difference of usage of terms as difference of structure

Cognitive Systems Research

K Nearest Neighbor Equality: Giving equal chance to all existing classes

Information Sciences: an International Journal

Machine learning for medical diagnosis: history, state of the art and perspective

Artificial Intelligence in Medicine

Machine learning for survival analysis: a case study on recurrence of prostate cancer

Artificial Intelligence in Medicine

Quality indicators for business process models from a gateway complexity perspective

Information and Software Technology

An approach for named entity recognition in poorly structured data

ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications

Selecting classification algorithms with active testing

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

Improving classifier performance by knowledge-driven data preparation

ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects

RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata

Fundamenta Informaticae - Special issue on DLT'04

Bounds for Validation

Fundamenta Informaticae

Spatio-Temporal Approximate Reasoning over Complex Objects

Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)

LTF-C: Architecture, Training Algorithm and Applications of New Neural Classifier

Fundamenta Informaticae

Ensembles of Classifiers Based on Approximate Reducts

Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2000)

From Optimal Hyperplanes to Optimal Decision Trees

Fundamenta Informaticae

Transforming graph data for statistical relational learning

Journal of Artificial Intelligence Research

Clustering algorithm recommendation: a meta-learning approach

SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing

Flexible Algorithm Selection Framework for Large Scale Metalearning

WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01

A survey of intelligent assistants for data analysis

ACM Computing Surveys (CSUR)

Improving bug localization using correlations in crash reports

Proceedings of the 10th Working Conference on Mining Software Repositories

Fuzzy and hard clustering analysis for thyroid disease

Computer Methods and Programs in Biomedicine

A second order cone programming approach for semi-supervised learning

Pattern Recognition

Modeling of algorithms of inductive concept formation in "noisy" databases

Automatic Documentation and Mathematical Linguistics

Dynamic supervised classification method for online monitoring in non-stationary environments

Neurocomputing

Efficient feature size reduction via predictive forward selection

Pattern Recognition

Towards UCI+: A mindful repository design

Information Sciences: an International Journal

Domains of competence of the semi-naive Bayesian network classifiers

Information Sciences: an International Journal

A feature subset selection algorithm automatic recommendation method

Journal of Artificial Intelligence Research

Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms

Genetic Programming and Evolvable Machines

Comprehensible classification models: a position paper

ACM SIGKDD Explorations Newsletter

A Domain Knowledge as a Tool For Improving Classifiers

Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday

Automatic selection of classification learning algorithms for data mining practitioners

Intelligent Data Analysis