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» A statistical approach to rule learning
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JNCA
2006
114views more  JNCA 2006»
13 years 10 months ago
An evolutionary approach to prototyping pedagogical agents: from simulation to integrated system
We have developed and integrated software agents with two educational groupware systems (TeamWave Workplace and FLE), using evolutionary prototyping and empiricalbased design as d...
Anders I. Mørch, Jan A. Dolonen, Jan Eirik ...
NECO
2007
150views more  NECO 2007»
13 years 9 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
ACL
2006
13 years 11 months ago
Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches
Sentence compression is a task of creating a short grammatical sentence by removing extraneous words or phrases from an original sentence while preserving its meaning. Existing me...
Yuya Unno, Takashi Ninomiya, Yusuke Miyao, Jun-ich...
ACL
1996
13 years 11 months ago
Unsupervised Learning of Word-Category Guessing Rules
Words unknown to the lexicon present a substantial problem to part-of-speech tagging. In this paper we present a technique for fully unsupervised statistical acquisition of rules ...
Andrei Mikheev