Book review: learning to classify text using support vector machines: methods, theory, and algorithms by thorstenjoachims cornell university dordrecht: kluwer academic publishers, 2002, xvii+205 pp; hardbound, isbn 0-7923-7679-x, $110.00, €121.00, £77.00

Automatic indexing based on Bayesian inference networks

SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval

Expert network: effective and efficient learning from human decisions in text categorization and retrieval

SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval

The nature of statistical learning theory

The nature of statistical learning theory

Combining labeled and unlabeled data with co-training

COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory

Text retrieval and filtering: analytic models of performance

Text retrieval and filtering: analytic models of performance

Induction of Decision Trees

Machine Learning

Chunking with support vector machines

NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies