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» Learning Recursive Automata from Positive Examples
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COLT
2006
Springer
13 years 11 months ago
Learning Rational Stochastic Languages
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
François Denis, Yann Esposito, Amaury Habra...
ICCAD
2003
IEEE
143views Hardware» more  ICCAD 2003»
14 years 4 months ago
Fractional Cut: Improved Recursive Bisection Placement
In this paper, we present improvements to recursive bisection based placement. In contrast to prior work, our horizontal cut lines are not restricted to row boundaries; this avoid...
Ameya R. Agnihotri, Mehmet Can Yildiz, Ateen Khatk...
ALT
2005
Springer
14 years 4 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
EMNLP
2008
13 years 9 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
ALT
2006
Springer
14 years 4 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri