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ACL
1998
13 years 9 months ago
General-to-Specific Model Selection for Subcategorization Preference
This paper proposes a novel method for learning probability models of subcategorization preference of verbs. We consider the issues of case dependencies and noun class generalizat...
Takehito Utsuro, Takashi Miyata, Yuji Matsumoto
LATA
2009
Springer
14 years 2 months ago
Hypothesis Spaces for Learning
In this paper we survey some results in inductive inference showing how learnability of a class of languages may depend on hypothesis space chosen. We also discuss results which co...
Sanjay Jain
ECML
2003
Springer
14 years 26 days ago
A Two-Level Learning Method for Generalized Multi-instance Problems
In traditional multi-instance (MI) learning, a single positive instance in a bag produces a positive class label. Hence, the learner knows how the bag’s class label depends on th...
Nils Weidmann, Eibe Frank, Bernhard Pfahringer
IWPC
2009
IEEE
14 years 2 months ago
Variable granularity for improving precision of impact analysis
Impact analysis is a specialized process of program comprehension that investigates the nature and extent of a planned software change. Traditionally, impact analysis inspects dep...
Maksym Petrenko, Václav Rajlich
JAIR
2008
123views more  JAIR 2008»
13 years 7 months ago
The Computational Complexity of Dominance and Consistency in CP-Nets
We investigate the computational complexity of testing dominance and consistency in CP-nets. Up until now, the complexity of dominance has been determined only for restricted clas...
Judy Goldsmith, Jérôme Lang, Miroslaw...