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ICML
1998
IEEE
14 years 10 months ago
Improving Text Classification by Shrinkage in a Hierarchy of Classes
Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell...
ICML
1998
IEEE
14 years 10 months ago
Employing EM and Pool-Based Active Learning for Text Classification
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
Andrew McCallum, Kamal Nigam
ICML
1998
IEEE
14 years 10 months ago
Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus
Cross-language latent semantic indexing is a method that learns useful languageindependent vector representations of terms through a statistical analysis of a documentaligned text...
Michael L. Littman, Fan Jiang, Greg A. Keim
ICML
1998
IEEE
14 years 10 months ago
Structural Machine Learning with Galois Lattice and Graphs
Michel Liquiere, Jean Sallantin
ICML
1998
IEEE
14 years 10 months ago
An Information-Theoretic Definition of Similarity
Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an in...
Dekang Lin
ICML
1998
IEEE
14 years 10 months ago
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
Michael J. Kearns, Yishay Mansour
ICML
1998
IEEE
14 years 10 months ago
Multi-criteria Reinforcement Learning
Csaba Szepesvári, Zoltán Gábo...
ICML
1998
IEEE
14 years 10 months ago
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
Moisés Goldszmidt, Nir Friedman, Thomas J. ...