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» Language Learning from Stochastic Input
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ICML
1995
IEEE
16 years 1 months ago
Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition
This paper describes an approach to automatically learn planning operators by observing expert solution traces and to further refine the operators through practice in a learning-b...
Xuemei Wang
91
Voted
ISOLA
2004
Springer
15 years 5 months ago
Case Studies with Lurette V2
Abstract. Lurette is an automated testing tool dedicated to reactive programs. The test process is automated at two levels: given a formal description of the System Under Test (SUT...
Erwan Jahier, Pascal Raymond, Philippe Baufreton
105
Voted
CVPR
2003
IEEE
16 years 2 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
JAIR
2011
144views more  JAIR 2011»
14 years 7 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
IWPT
2001
15 years 1 months ago
Parsing the CHILDES Database: Methodology and Lessons Learned
This paper discusses the process of parsing adult utterances directed to a child, in an effort to produce a syntactically annotated corpus of the verbal input to a human language ...
Kenji Sagae, Alon Lavie, Brian MacWhinney