Neural networks and the bias/variance dilemma

A training algorithm for optimal margin classifiers

COLT '92 Proceedings of the fifth annual workshop on Computational learning theory

Learning internal representations

COLT '95 Proceedings of the eighth annual conference on Computational learning theory

Constructing deterministic finite-state automata in recurrent neural networks

Journal of the ACM (JACM)

Bias/variance analyses of mixtures-of-experts architectures

Neural Computation

On bias plus variance

Neural Computation

An Enhancement of Generalization Ability in Cascade CorrelationAlgorithm by Avoidance of Overfitting/Overtraining Problem

Neural Processing Letters

Shape quantization and recognition with randomized trees

Neural Computation

Factorial Hidden Markov Models

Machine Learning - Special issue on learning with probabilistic representations

Toward optimally distributed computation

Neural Computation

Efficient adaptive learning for classification tasks with binary units

Neural Computation

Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures

Journal of VLSI Signal Processing Systems - special issue on applications of neural networks in biomedical image processing

Local Adaptive Subspace Regression

Neural Processing Letters

SUSTAIN: a model of human category learning

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence

Bias/variance decompositions for likelihood-based estimators

Neural Computation

Nonlinear Modeling of Scattered Multivariate Data and Its Application to Shape Change

IEEE Transactions on Pattern Analysis and Machine Intelligence

Boosting regression estimators

Neural Computation

An Efficient Method To Estimate Bagging‘s Generalization Error

Machine Learning

Constructive Backpropagation for Recurrent Networks

Neural Processing Letters

Construction of an artificial neural network for simple exponential smoothing in forecasting

SAC '94 Proceedings of the 1994 ACM symposium on Applied computing

Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence

A Multistrategy Approach to Classifier Learning from Time Series

Machine Learning - Special issue on multistrategy learning

Multiple Comparisons in Induction Algorithms

Machine Learning

Empirical Data Modeling in Software Engineering Using Radial Basis Functions

IEEE Transactions on Software Engineering

MultiBoosting: A Technique for Combining Boosting and Wagging

Machine Learning

Randomizing Outputs to Increase Prediction Accuracy

Machine Learning

A Fast and Accurate Face Detector Based on Neural Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

Lazy learning: a logical method for supervised learning

New learning paradigms in soft computing

Upper Bounds for Error Rates of Linear Combinations of Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence

Using Iterated Bagging to Debias Regressions

Machine Learning

Smoothed Bagging with Kernel Bandwidth Selectors

Neural Processing Letters

Ensembling neural networks: many could be better than all

Artificial Intelligence

Estimation of all-terminal network reliability using an artificial neural network

Computers and Operations Research

On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality

Data Mining and Knowledge Discovery

A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery

The Role of Occam‘s Razor in Knowledge Discovery

Data Mining and Knowledge Discovery

Declarative and Preferential Bias in GP-based Scientific Discovery

Genetic Programming and Evolvable Machines

Hierarchical Feature Extraction for Image Recognition

Journal of VLSI Signal Processing Systems

A Principal Components Approach to Combining Regression Estimates

Machine Learning

An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

Machine Learning

A unified method for optimizing linear image restoration filters

Signal Processing - Image and Video Coding beyond Standards

An approach to guaranteeing generalisation in neural networks

Neural Networks

Associative Neural Network

Neural Processing Letters

Reduced Rank Kernel Ridge Regression

Neural Processing Letters

Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation

IEEE Transactions on Computers

Pattern Recognition: Neural Networks in Perspective

IEEE Expert: Intelligent Systems and Their Applications

Squibs and discussions: the DOP Estimation method is biased and inconsistent

Computational Linguistics

MLP in layer-wise form with applications to weight decay

Neural Computation

Local overfitting control via leverages

Neural Computation

Developmental constraints aid the acquisition of binocular disparity sensitivities

Neural Computation

Backpropagation in Decision Trees for Regression

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

Ensembles of Learning Machines

WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers

An HMM-Based Subband Processing Approach to Speaker Identification

AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication

Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Mining Dependence Structures from Statistical Learning Perspective

IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning

Inductive Bias in Recurrent Neural Networks

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

Real-Time Real-World Visual Classification - Making Computational Intelligence Fly

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

Two Modules of a Vision-Based Robotic System: Attention and Accumulation of Object Representations

RobVis '01 Proceedings of the International Workshop on Robot Vision

On the Need for a Neural Abstract Machine

Sequence Learning - Paradigms, Algorithms, and Applications

Augmenting Supervised Neural Classifier Training Using a Corpus of Unlabeled Data

KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence

The ``Test and Select'' Approach to Ensemble Combination

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

Self-Organizing Decomposition of Functions in the Context of a Unified Framework for Multiple Classifier Systems

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

Data Complexity Analysis for Classifier Combination

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

Learning-Data Selection Mechanism through Neural Networks Ensemble

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

Multiple Classification Systems in the Context of Feature Extraction and Selection

MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems

Bias-Variance Analysis and Ensembles of SVM

MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems

Structural Constraints for Pose Clustering

CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns

Quantifying the Resilience of Inductive Classification Algorithms

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

Visual development and the acquisition of motion velocity sensitivities

Neural Computation

Guest Editorial: Computational Vision at Brown

International Journal of Computer Vision - Special Issue on Computational Vision at Brown University

On different facets of regularization theory

Neural Computation

Data mining tasks and methods: Classification: decision-tree discovery

Handbook of data mining and knowledge discovery

Machine learning

Handbook of data mining and knowledge discovery

Improving speaker identification in noise by subband processing and decision fusion

Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)

Exploring the predictable

Advances in evolutionary computing

Control of inductive bias in supervised learning using evolutionary computation: a wrapper-based approach

Data mining

On learning multicategory classification with sample queries

Information and Computation

The subspace information criterion for infinite dimensional hypothesis spaces

The Journal of Machine Learning Research

A Generative Probabilistic Oriented Wavelet Model for Texture Segmentation

Neural Processing Letters

Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Mining concept-drifting data streams using ensemble classifiers

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

Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers

Applied Intelligence

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

Artificial Intelligence for Engineering Design, Analysis and Manufacturing

Introduction to the Special Issue on Meta-Learning

Machine Learning

Ensemble Learning for Chemical Sensor Arrays

Neural Processing Letters

PCFG models of linguistic tree representations

Computational Linguistics

Uncertainty Analysis of Memory Based Sensor Validation Techniques

Real-Time Systems

Combining diverse neural nets

The Knowledge Engineering Review

Functional Trees

Machine Learning

Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regression

Neural Computation

Terrain Reconstruction with an Adaptive Surface Mesh

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

Improving generalization capabilities of dynamic neural networks

Neural Computation

Using bayesian priors to combine classifiers for adaptive filtering

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000

Machine Learning

Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing

Natural Computing: an international journal

A new generalized cellular automata approach to optimization of fast packet switching

Computer Networks: The International Journal of Computer and Telecommunications Networking

Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods

The Journal of Machine Learning Research

Neural network uncertainty assessment using Bayesian statistics: a remote sensing application

Neural Computation

A principled approach for building and evaluating neural network classification models

Decision Support Systems

Fast exact leave-one-out cross-validation of sparse least-squares support vector machines

Neural Networks

A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems

IEEE Transactions on Pattern Analysis and Machine Intelligence

Evolutionary Radial Basis Functions for Credit Assessment

Applied Intelligence

Constructing good learners using evolved pattern generators

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

The Nearest Subclass Classifier: A Compromise between the Nearest Mean and Nearest Neighbor Classifier

IEEE Transactions on Pattern Analysis and Machine Intelligence

Stability of Feature Selection Algorithms

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

Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches

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

Stability of Feature Selection Algorithms

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

An Integrated Data Preparation Scheme for Neural Network Data Analysis

IEEE Transactions on Knowledge and Data Engineering

Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter

Neural Computation

Subspace Information Criterion for Model Selection

Neural Computation

Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning

Neural Computation

2005 Special Issue: Dynamical systems and cognitive linguistics: toward an active morphodynamical semantics

Neural Networks - 2005 Special issue: IJCNN 2005

2005 Special Issue: Constructing Bayesian formulations of sparse kernel learning methods

Neural Networks - 2005 Special issue: IJCNN 2005

Learning Object Representations Using A Priori Constraints Within ORASSYLL

Neural Computation

Boosting Neural Networks

Neural Computation

Incremental Active Learning for Optimal Generalization

Neural Computation

Constructive Incremental Learning from Only Local Information

Neural Computation

Extremely randomized trees

Machine Learning

Classification-based objective functions

Machine Learning

A New Cluster Validity for Data Clustering

Neural Processing Letters

2006 Special issue: Applications of neural network methods to the processing of earth observation satellite data

Neural Networks - 2006 special issue: Earth sciences and environmental applications of computational intelligence

2006 Special issue: Machine learning approaches for estimation of prediction interval for the model output

Neural Networks - 2006 special issue: Earth sciences and environmental applications of computational intelligence

A neighborhood-based enhancement of the Gauss-Newton Bayesian regularization training method

Neural Computation

Swarm bias-variance analysis of an evolutionary neural network classifier

AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications

Spatial associative classification: propositional vs structural approach

Journal of Intelligent Information Systems

Bayesian adaptive user profiling with explicit & implicit feedback

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management

Managing Diversity in Regression Ensembles

The Journal of Machine Learning Research

Neural network ensembles: evaluation of aggregation algorithms

Artificial Intelligence

Using diversity of errors for selecting members of a committee classifier

Pattern Recognition

Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence

Pattern Recognition

Convergent design of piecewise linear neural networks

Neurocomputing

Flexible neural trees ensemble for stock index modeling

Neurocomputing

Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm

Neurocomputing

Non-strict heterogeneous Stacking

Pattern Recognition Letters

A robust deterministic annealing algorithm for data clustering

Data & Knowledge Engineering

Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring

Expert Systems with Applications: An International Journal

A Stochastic Algorithm for Feature Selection in Pattern Recognition

The Journal of Machine Learning Research

Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters

The Journal of Machine Learning Research

On the Dimensionality of Face Space

IEEE Transactions on Pattern Analysis and Machine Intelligence

2007 Special Issue: Predictive uncertainty in environmental modelling

Neural Networks

Time series prediction with ensemble models applied to the CATS benchmark

Neurocomputing

Stability of feature selection algorithms: a study on high-dimensional spaces

Knowledge and Information Systems

A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies

Neurocomputing

On the Bayes fusion of visual features

Image and Vision Computing

Decision trees using model ensemble-based nodes

Pattern Recognition

EROS: Ensemble rough subspaces

Pattern Recognition

Ensembles of Neural Networks for Fault Diagnosis in Analog Circuits

Journal of Electronic Testing: Theory and Applications

Active learning for logistic regression: an evaluation

Machine Learning

Hybrid systems of local basis functions

Intelligent Data Analysis

Optimizing number of hidden neurons in neural networks

AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications

Combination of Multi Level Forecasts

Journal of VLSI Signal Processing Systems

Forecasting Thailand's rice export: Statistical techniques vs. artificial neural networks

Computers and Industrial Engineering

Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study

Neurocomputing

Balancing accuracy and parsimony in genetic programming

Evolutionary Computation

How to shift bias: Lessons from the baldwin effect

Evolutionary Computation

Evolutionary induction of sparse neural trees

Evolutionary Computation

Genetic algorithm-based feature set partitioning for classification problems

Pattern Recognition

Modeling consumer situational choice of long distance communication with neural networks

Decision Support Systems

Genetic algorithm-based feature set partitioning for classification problems

Pattern Recognition

2008 Special Issue: Learning representations for object classification using multi-stage optimal component analysis

Neural Networks

Third-order generalization: A new approach to categorizing higher-order generalization

Neurocomputing

A multi-objective approach to RBF network learning

Neurocomputing

Risk-sensitive loss functions for sparse multi-category classification problems

Information Sciences: an International Journal

Active learning and logarithmic opinion pools for hpsg parse selection

Natural Language Engineering

Learning with preknowledge: Clustering with point and graph matching distance measures

Neural Computation

On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions

Neural Computation

A smoothing regularizer for feedforward and recurrent neural networks

Neural Computation

Estimation of network parameters in semiparametric stochastic perceptron

Neural Computation

Combining exploratory projection pursuit and projection pursuit regression with application to neural networks

Neural Computation

A 'No Panacea Theorem' for classifier combination

Pattern Recognition

Efficient approximate leave-one-out cross-validation for kernel logistic regression

Machine Learning

On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations

International Journal of Knowledge-based and Intelligent Engineering Systems

Generalization of raster images containing patterns featuring stochastic repetitiveness

Machine Graphics & Vision International Journal

RotBoost: A technique for combining Rotation Forest and AdaBoost

Pattern Recognition Letters

Estimation and decision fusion: A survey

Neurocomputing

Evolving model trees for mining data sets with continuous-valued classes

Expert Systems with Applications: An International Journal

A bias/variance decomposition for models using collective inference

Machine Learning

Training neural networks for classification using growth probability-based evolution

Neurocomputing

A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III

Model selection approaches for non-linear system identification: a review

International Journal of Systems Science

ENNA: software effort estimation using ensemble of neural networks with associative memory

Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering

A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

Expert Systems with Applications: An International Journal

Artificial Neural Network estimation of soil erosion and nutrient concentrations in runoff from land application areas

Computers and Electronics in Agriculture

Interpretability constraints for fuzzy information granulation

Information Sciences: an International Journal

Neural network determination of cloud attenuation to estimate insolation using MTSAT-1R data

International Journal of Remote Sensing - Satellite observations of the atmosphere, ocean and their interface in relation to climate, natural hazards and management of the coastal zone

Sales forecasting using extreme learning machine with applications in fashion retailing

Decision Support Systems

Learning Model Trees from Data Streams

DS '08 Proceedings of the 11th International Conference on Discovery Science

Intelligent monitoring and diagnosis of manufacturing process using an integrated approach of neural network ensemble and genetic algorithm

International Journal of Computer Applications in Technology

A Meta heuristic approach for performance assessment of production units

Expert Systems with Applications: An International Journal

Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble

Engineering Applications of Artificial Intelligence

Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process

Engineering Applications of Artificial Intelligence

Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures

Computers in Biology and Medicine

Bayesian classifiers based on kernel density estimation: Flexible classifiers

International Journal of Approximate Reasoning

A committee machine with intelligent systems for estimation of total organic carbon content from petrophysical data: An example from Kangan and Dalan reservoirs in South Pars Gas Field, Iran

Computers & Geosciences

Signal denoising in engineering problems through the minimum gradient method

Neurocomputing

Approximation Methods for Efficient Learning of Bayesian Networks

Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks

Ensemble of neural networks with associative memory (ENNA) for estimating software development costs

Knowledge-Based Systems

The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Topology Preserving Neural Networks for Peptide Design in Drug Discovery

Computational Intelligence Methods for Bioinformatics and Biostatistics

Generality versus size in genetic programming

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

Classification of symbolic objects: A lazy learning approach

Intelligent Data Analysis - Analysis of Symbolic and Spatial Data

On Feature Selection, Bias-Variance, and Bagging

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II

Learning the past tense of English verbs: the symbolic pattern associator vs. connectionist models

Journal of Artificial Intelligence Research

Active learning with statistical models

Journal of Artificial Intelligence Research

Decision tree grafting from the all-tests-but-one partition

IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2

Combining learning constraints and numerical regression

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Prediction of a Lorenz chaotic attractor using two-layer perceptron neural network

Applied Soft Computing

Adaptive regularization parameter selection method for enhancing generalization capability of neural networks

Artificial Intelligence

Neural network ensembles: evaluation of aggregation algorithms

Artificial Intelligence

A committee machine with empirical formulas for permeability prediction

Computers & Geosciences

Neural networks-based adaptive bidding with the contract net protocol in multi-robot systems

Applied Intelligence

Semi-algebraic networks: An attempt to design geometric autopoietic models

Artificial Life

Ensemble with neural networks for bankruptcy prediction

Expert Systems with Applications: An International Journal

Zone analysis: a visualization framework for classification problems

Artificial Intelligence Review

The Necessity of Machine Learning and Epistemology in the Development of Categorization Theories: A Case Study in Prototype-Exemplar Debate

AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence

Representational bias in unsupervised learning of syllable structure

CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning

Constructing response model using ensemble based on feature subset selection

Expert Systems with Applications: An International Journal

Knowledge discovery by a neuro-fuzzy modeling framework

Fuzzy Sets and Systems

Real-time motion detection by lateral inhibition in accumulative computation

Engineering Applications of Artificial Intelligence

The evidence framework applied to sparse kernel logistic regression

Neurocomputing

Evolving hybrid ensembles of learning machines for better generalisation

Neurocomputing

A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes

Expert Systems with Applications: An International Journal

Improved estimation of surface solar insolation using a neural network and MTSAT-1R data

Computers & Geosciences

On the size of a classification tree

MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition

Ensemble learning in linearly combined classifiers via negative correlation

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

Multiobjective evolutionary neural networks for time series forecasting

EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization

Overfitting or poor learning: a critique of current financial applications of GP

EuroGP'03 Proceedings of the 6th European conference on Genetic programming

Feature extraction for one-class classification

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

Improving optimality of neural rewards regression for data-efficient batch near-optimal policy identification

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

The usage of golden section in calculating the efficient solution in artificial neural networks training by multi-objective optimization

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

Active learning for regression based on query by committee

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

Stop wasting time: on predicting the success or failure of learning for industrial applications

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

No-reference quality assessment of JPEG images by using CBP neural networks

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

Maps ensemble for semi-supervised learning of large high dimensional datasets

ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems

Bias/variance analysis for relational domains

ILP'07 Proceedings of the 17th international conference on Inductive logic programming

Soft sensor based on adaptive local learning

ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I

Learning-based robot vision: principles and applications

Learning-based robot vision: principles and applications

A dynamic classifier ensemble selection approach for noise data

Information Sciences: an International Journal

CAFE: Collaboration Aimed at Finding Experts

International Journal of Knowledge and Web Intelligence

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

Computers and Operations Research

Voice conversion using partial least squares regression

IEEE Transactions on Audio, Speech, and Language Processing

SVD and clustering for unsupervised POS tagging

ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers

On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

The Journal of Machine Learning Research

On the selection of weight decay parameter for faulty networks

IEEE Transactions on Neural Networks

Empirical analysis of the general utility problem in machine learning

AAAI'92 Proceedings of the tenth national conference on Artificial intelligence

A new metric-based approach to model selection

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

An efficient multi-objective learning algorithm for RBF neural network

Neurocomputing

Computer assisted peptide design and optimization with topology preserving neural networks

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

Looking inside self-organizing map ensembles with resampling and negative correlation learning

Neural Networks

Lazy decision trees

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1

Invariant operators, small samples, and the bias-variance dilemma

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

Boundedness and convergence of online gradient method with penalty and momentum

Neurocomputing

Fast meta-models for local fusion of multiple predictive models

Applied Soft Computing

Data mining applications in hydrocarbon exploration

Artificial Intelligence Review

Learning visual representations for perception-action systems

International Journal of Robotics Research

Differential learning leads to efficient neural network classifiers

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I

Highly-constrained neural networks with application to visual inspection of machined parts

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I

Grid-based retargeting with transformation consistency smoothing

MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II

Psychological Heuristics for Making Inferences: Definition, Performance, and the Emerging Theory and Practice

Decision Analysis

Learning model trees from evolving data streams

Data Mining and Knowledge Discovery

Some issues about the generalization of neural networks for time series prediction

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

A comparison of genetic programming and artificial neural networks in metamodeling of discrete-event simulation models

Computers and Operations Research

Identifying the optimal method of predicting the utilization of cluster resources and grid nodes

Cybernetics and Systems Analysis

Dynamic construction of multilayer neural networks for classification

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I

Bagging gradient-boosted trees for high precision, low variance ranking models

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

A generic methodology for developing fuzzy decision models

Expert Systems with Applications: An International Journal

Creating and measuring diversity in multiple classifier systems using support vector data description

Applied Soft Computing

A tuning method for the architecture of neural network models incorporating GAM and GA as applied to bankruptcy prediction

Expert Systems with Applications: An International Journal

Convergence of an online gradient method with inner-product penalty and adaptive momentum

Neurocomputing

Factored particles for scalable monitoring

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence

Using OVA modeling to improve classification performance for large datasets

Expert Systems with Applications: An International Journal

Aggregating regressive estimators: gradient-based neural network ensemble

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

Ensembles of nearest neighbor forecasts

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

Bayesian radial basis function neural network

IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning

Classifying unprompted speech by retraining LSTM nets

ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I

Coevolutionary learning of neural network ensemble for complex classification tasks

Pattern Recognition

C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons

Neural Networks

A statistical confidence-based adaptive nearest neighbor algorithm for pattern classification

ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics

A bias-variance-complexity trade-off framework for complex system modeling

ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I

Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning

Neural Processing Letters

Combining bias and variance reduction techniques for regression trees

ECML'05 Proceedings of the 16th European conference on Machine Learning

Between two extremes: examining decompositions of the ensemble objective function

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

Locally determining the number of neighbors in the k-nearest neighbor rule based on statistical confidence

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

Determining regularization parameters for derivative free neural learning

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

Bayesian kernel learning methods for parametric accelerated life survival analysis

Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning

Combining self-organizing maps with mixtures of experts: application to an actor-critic model of reinforcement learning in the basal ganglia

SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior

Facility power usage modeling and short term prediction with artificial neural networks

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II

Selection of weights for sequential feed-forward neural networks: an experimental study

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

Three dilemmas of signal- and symbol-based representations in computer vision

BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence

Prediction-Based software availability enhancement

Self-star Properties in Complex Information Systems

Application and performance analysis of neural networks for decision support in conceptual design

Expert Systems with Applications: An International Journal

A novel business cycle surveillance system using the query logs of search engines

Knowledge-Based Systems

Predictive analytics in information systems research

MIS Quarterly

Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection

Artificial Intelligence in Medicine

Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues

Artificial Intelligence in Medicine

Performance measures, consistency, and power for artificial neural network models

Mathematical and Computer Modelling: An International Journal

A SOM-based hybrid linear-neural model for short-term load forecasting

Neurocomputing

A framework for automatic TRIZ level of invention estimation of patents using natural language processing, knowledge-transfer and patent citation metrics

Computer-Aided Design

Optimization of tuning parameters for open node fault regularizer

Neurocomputing

Convergence analysis of sliding mode trajectories in multi-objective neural networks learning

Neural Networks

GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems

Expert Systems with Applications: An International Journal

Applying least angle regression to ELM

Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence

Empirical models based on features ranking techniques for corporate financial distress prediction

Computers & Mathematics with Applications

Ensemble approaches for regression: A survey

ACM Computing Surveys (CSUR)

A distributed hebb neural network for network anomaly detection

ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications

An analysis of how ensembles of collective classifiers improve predictions in graphs

Proceedings of the 21st ACM international conference on Information and knowledge management

Architecture selection for networks trained with extreme learning machine using localized generalization error model

Neurocomputing

Circular-ELM for the reduced-reference assessment of perceived image quality

Neurocomputing

Active evaluation of ranking functions based on graded relevance

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II

Efficiently learning the preferences of people

Machine Learning

Allocation of simulation effort for neural network vs. regression metamodels

Proceedings of the Winter Simulation Conference

Adaptive value function approximation for continuous-state stochastic dynamic programming

Computers and Operations Research

Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble

Neurocomputing

Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model

Proceedings of the 15th annual conference on Genetic and evolutionary computation

Gesture recognition using neural networks based on HW/SW cosimulation platform

Advances in Software Engineering

Review article: Achieving maximum reliability in fault tolerant network design for variable networks

Applied Soft Computing

A genetic-based subspace analysis method for improving Error-Correcting Output Coding

Pattern Recognition

Sparse activity and sparse connectivity in supervised learning

The Journal of Machine Learning Research

Active evaluation of ranking functions based on graded relevance

Machine Learning

Improving Text Classification Accuracy by Training Label Cleaning

ACM Transactions on Information Systems (TOIS)

Bias-variance tradeoffs in program analysis

Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages

Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining

INFORMS Journal on Computing

An active learning approach to home heating in the smart grid

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Bias-variance analysis in estimating true query model for information retrieval

Information Processing and Management: an International Journal

Generalization ability of fractional polynomial models

Neural Networks

Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication

Proceedings of the 23rd international conference on World wide web

DF-SVM: a decision forest constructed on artificially enlarged feature space by support vector machine

Artificial Intelligence Review

Convergence of online gradient method for feedforward neural networks with smoothing L 1/2 regularization penalty

Neurocomputing

Comparing large number of metaheuristics for artificial neural networks training to predict water temperature in a natural river

Computers & Geosciences

Fast decorrelated neural network ensembles with random weights

Information Sciences: an International Journal

Evaluation in Music Information Retrieval

Journal of Intelligent Information Systems

Neural network Trojan

Journal of Computer Security