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ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
13 years 2 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
AAAI
1996
13 years 6 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
ICML
2005
IEEE
14 years 5 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
MAICS
2004
13 years 6 months ago
Creation of a Style Independent Intelligent Autonomous Citation Indexer to Support Academic Research
This paper describes the current state of RUgle, a system for classifying and indexing papers made available on the World Wide Web, in a domain-independent and universal manner. B...
Eric G. Berkowitz, Mohamed Reda Elkhadiri
IJCAI
2003
13 years 6 months ago
Evaluating Classifiers by Means of Test Data with Noisy Labels
Often the most expensive and time-consuming task in building a pattern recognition system is col­ lecting and accurately labeling training and testing data. In this paper, we exp...
Chuck P. Lam, David G. Stork