Prototype Proliferation in the Growing Neural Gas Algorithm
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
Expert Systems with Applications: An International Journal
IPADE: iterative prototype adjustment for nearest neighbor classification
IEEE Transactions on Neural Networks
Testing and validating machine learning classifiers by metamorphic testing
Journal of Systems and Software
Reducing dimensionality in a database of sleep EEG arousals
Expert Systems with Applications: An International Journal
Evaluation of reinforcement learning techniques
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
A framework for collective intelligence from internet Q&A documents
International Journal of Web and Grid Services
An industrial case study of classifier ensembles for locating software defects
Software Quality Control
Enhancing IPADE algorithm with a different individual codification
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Micro interaction metrics for defect prediction
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
GAPs: Geospatial Abduction Problems
ACM Transactions on Intelligent Systems and Technology (TIST)
Information Sciences: an International Journal
Design patterns selection: An automatic two-phase method
Journal of Systems and Software
On the dataset shift problem in software engineering prediction models
Empirical Software Engineering
Expert Systems with Applications: An International Journal
Fast track article: Market mechanisms for resource allocation in pervasive sensor applications
Pervasive and Mobile Computing
Exploiting spatiotemporal and device contexts for energy-efficient mobile embedded systems
Proceedings of the 49th Annual Design Automation Conference
An overview of the use of neural networks for data mining tasks
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Probabilistic and discriminative group-wise feature selection methods for credit risk analysis
Expert Systems with Applications: An International Journal
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Drift detection and model selection algorithms: concept and experimental evaluation
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
A compact hybrid feature vector for an accurate secondary structure prediction
Information Sciences: an International Journal
A multi-sensor based occupancy estimation model for supporting demand driven HVAC operations
Proceedings of the 2012 Symposium on Simulation for Architecture and Urban Design
Multimodal behavioral analysis for non-invasive stress detection
Expert Systems with Applications: An International Journal
Performance evaluation of hybrid implementation of support vector machine
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Cost-Sensitive splitting and selection method for medical decision support system
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Linguistic features for quality estimation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
The use of artificial-intelligence-based ensembles for intrusion detection: a review
Applied Computational Intelligence and Soft Computing
Bagging and Boosting statistical machine translation systems
Artificial Intelligence
Comparison of fuzzy combiner training methods
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Dimension reduction using clustering algorithm and rough set theory
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Pulmonary crackle detection using time-frequency and time-scale analysis
Digital Signal Processing
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A new hyper-heuristic as a general problem solver: an implementation in HyFlex
Journal of Scheduling
Combinatorial optimization EDA using hidden Markov models
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Proceedings of the 2013 International Conference on Software Engineering
If you see something, swipe towards it: crowdsourced event localization using smartphones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Improving protein complex classification accuracy using amino acid composition profile
Computers in Biology and Medicine
Classifier ensemble for an effective cytological image analysis
Pattern Recognition Letters
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Semi-Supervised template attack
COSADE'13 Proceedings of the 4th international conference on Constructive Side-Channel Analysis and Secure Design
Automatic design of decision-tree algorithms with evolutionary algorithms
Evolutionary Computation
A survey of multiple classifier systems as hybrid systems
Information Fusion
Computers in Biology and Medicine
Detection of artifacts from high energy bursts in neonatal EEG
Computers in Biology and Medicine
Computers in Biology and Medicine
Investigating the contribution of linguistic information to quality estimation
Machine Translation
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects
Information Sciences: an International Journal
On the feature extraction in discrete space
Pattern Recognition
Gender classification of human face images based on adaptive features and support vector machines
Optical Memory and Neural Networks
Quantifying the reliability of fault classifiers
Information Sciences: an International Journal
Hi-index | 0.03 |
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The text covers such topics as supervised learning, Bayesian decision theory, parametric methods, multivariate methods, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, and reinforcement learning. New to the second edition are chapters on kernel machines, graphical models, and Bayesian estimation; expanded coverage of statistical tests in a chapter on design and analysis of machine learning experiments; case studies available on the Web (with downloadable results for instructors); and many additional exercises. All chapters have been revised and updated. Introduction to Machine Learning can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods. Adaptive Computation and Machine Learning series