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CICLING
2006
Springer
15 years 8 months ago
Application of Semi-supervised Learning to Evaluative Expression Classification
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
Yasuhiro Suzuki, Hiroya Takamura, Manabu Okumura
DAGSTUHL
2007
15 years 5 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
ACL
2006
15 years 5 months ago
Semi-Supervised Learning of Partial Cognates Using Bilingual Bootstrapping
Partial cognates are pairs of words in two languages that have the same meaning in some, but not all contexts. Detecting the actual meaning of a partial cognate in context can be ...
Oana Frunza, Diana Zaiu Inkpen
ETS
2000
IEEE
85views Hardware» more  ETS 2000»
15 years 4 months ago
A Framework for Enabling an Internet Learning Community
We view the Internet as a "virtual laboratory" and have developed a framework to support experiments in web-based community learning. Our system is called the Community ...
Elizabeth Sklar, Jordan B. Pollack
168
Voted
EC
2010
176views ECommerce» more  EC 2010»
15 years 1 months ago
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
Roberto Santana, Pedro Larrañaga, Jos&eacut...