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ICML
2006
IEEE
16 years 7 months ago
An investigation of computational and informational limits in Gaussian mixture clustering
We investigate under what conditions clustering by learning a mixture of spherical Gaussians is (a) computationally tractable; and (b) statistically possible. We show that using p...
Nathan Srebro, Gregory Shakhnarovich, Sam T. Rowei...
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ICML
2005
IEEE
16 years 7 months ago
Error bounds for correlation clustering
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
Thorsten Joachims, John E. Hopcroft
MLCW
2005
Springer
16 years 5 days ago
A Lexical Alignment Model for Probabilistic Textual Entailment
This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge. The paper proposes first a general probabilistic setting that formalizes th...
Oren Glickman, Ido Dagan, Moshe Koppel
COLT
1993
Springer
15 years 10 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
ACII
2007
Springer
15 years 10 months ago
'You are Sooo Cool, Valentina!' Recognizing Social Attitude in Speech-Based Dialogues with an ECA
We propose a method to recognize the `social attitude' of users towards an Embodied Conversational Agent (ECA) from a combination of linguistic and prosodic features. After de...
Fiorella de Rosis, Anton Batliner, Nicole Novielli...