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121
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COLT
2005
Springer
15 years 10 months ago
2005
Springer
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements t...
130
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SBIA
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
163
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
152
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ICML
2004
IEEE
16 years 6 months ago
2004
IEEE
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
138
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WCE
2007
15 years 6 months ago
2007
— Our work explores the use of several text categorization techniques for classification of manufacturing quality defect and service shop data sets into fixed categories. Althoug...