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ICML
2005
IEEE
16 years 4 months ago
Experimental comparison between bagging and Monte Carlo ensemble classification
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...
Roberto Esposito, Lorenza Saitta
WILF
2007
Springer
108views Fuzzy Logic» more  WILF 2007»
15 years 10 months ago
Recognizing Humor Without Recognizing Meaning
Abstract. We present a machine learning approach for classifying sentences as one-liner jokes or normal sentences. We use no deep analysis of the meaning to try to see if it is hum...
Jonas Sjöbergh, Kenji Araki
ACL
2001
15 years 5 months ago
Automated Subcategorization of Named Entities
There has been much interest in the recent past concerning the possibilities for automated categorization of named entities. The research presented here describes a method for the...
Michael Fleischman
NAACL
2004
15 years 5 months ago
Shallow Semantic Parsing using Support Vector Machines
In this paper, we propose a machine learning algorithm for shallow semantic parsing, extending the work of Gildea and Jurafsky (2002), Surdeanu et al. (2003) and others. Our algor...
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James ...
JMLR
2002
75views more  JMLR 2002»
15 years 3 months ago
Stability and Generalization
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
Olivier Bousquet, André Elisseeff