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ICML
2006
IEEE
16 years 4 months ago
Learning user preferences for sets of objects
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
Marie desJardins, Eric Eaton, Kiri Wagstaff
VLDB
1990
ACM
116views Database» more  VLDB 1990»
15 years 8 months ago
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Norbert Fuhr
AAAI
2007
15 years 6 months ago
Recognizing Textual Entailment Using a Subsequence Kernel Method
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
Rui Wang 0005, Günter Neumann
ALT
2011
Springer
14 years 4 months ago
Deviations of Stochastic Bandit Regret
This paper studies the deviations of the regret in a stochastic multi-armed bandit problem. When the total number of plays n is known beforehand by the agent, Audibert et al. (2009...
Antoine Salomon, Jean-Yves Audibert
LPNMR
2005
Springer
15 years 9 months ago
The nomore++ System
Abstract. We present a new answer set solver nomore++. Distinguishing features include its treatment of heads and bodies equitably as computational objects and a new hybrid lookahe...
Christian Anger, Martin Gebser, Thomas Linke, Andr...