Elements of information theory
Elements of information theory
The nature of statistical learning theory
The nature of statistical learning theory
A comparison of classifiers and document representations for the routing problem
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Text databases & document management
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Feature Subset Selection in Text-Learning
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Machine learning in automated text categorisation
Machine learning in automated text categorisation
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
A Linear Least Squares Fit mapping method for information retrieval from natural language texts
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
OCFS: optimal orthogonal centroid feature selection for text categorization
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of breast feeding data using data mining methods
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Meta methods for model sharing in personal information systems
ACM Transactions on Information Systems (TOIS)
Filtering Methods for Feature Selection in Web-Document Clustering
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
CWC: A Clustering-Based Feature Weighting Approach for Text Classification
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Feature Selection Using Mutual Information: An Experimental Study
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Feature selection with dynamic mutual information
Pattern Recognition
Discriminant independent component analysis
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Expert Systems with Applications: An International Journal
Correntropy based feature selection using binary projection
Pattern Recognition
Improving text classification with concept index terms and expansion terms
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Class-driven correlation learning for chinese document categorization using discriminative features
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
TAKES: a fast method to select features in the kernel space
Proceedings of the 20th ACM international conference on Information and knowledge management
The role of attractiveness in web image search
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Automatic feature selection for classification of health data
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Feature subset selection with cumulate conditional mutual information minimization
Expert Systems with Applications: An International Journal
Text classification using small number of features
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Nearest neighbor estimate of conditional mutual information in feature selection
Expert Systems with Applications: An International Journal
Feature selection for link prediction
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Divergence-based feature selection for separate classes
Neurocomputing
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Feature selection is an important component of text categorization. This technique can both increase a classifier's computation speed, and reduce the overfitting problem. Several feature selection methods, such as information gain and mutual information, have been widely used. Although they greatly improve the classifier's performance, they have a common drawback, which is that they do not consider the mutual relationships among the features. In this situation, where one feature's predictive power is weakened by others, and where the selected features tend to bias towards major categories, such selection methods are not very effective. In this paper, we propose a novel feature selection method for text categorization called conditional mutual information maximin (CMIM). It can select a set of individually discriminating and weakly dependent features. The experimental results show that CMIM can perform much better than traditional feature selection methods.