Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Instance-Based Learning Algorithms
Machine Learning
An introduction to neural computing
An introduction to neural computing
C4.5: programs for machine learning
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The nature of statistical learning theory
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Machine Learning
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
An efficient and scalable data compression approach to classification
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction
Data Mining and Knowledge Discovery
An Efficient Data Compression Approach to the Classification Task
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
A Probabilistic Active Support Vector Learning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
A selective sampling approach to active feature selection
Artificial Intelligence
Stochastic scheduling of active support vector learning algorithms
Proceedings of the 2005 ACM symposium on Applied computing
Borderline detection by Bayes vector quantizers
Proceedings of the 2008 ACM symposium on Applied computing
A Competitive Learning Approach to Instance Selection for Support Vector Machines
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Improving SVM-Linear predictions using CART for example selection
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
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