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» Learning Complex Concepts Using Crowdsourcing: A Bayesian Ap...
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146
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JAIR
2010
145views more  JAIR 2010»
15 years 1 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
153
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AAAI
1996
15 years 4 months ago
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
Sebastian Thrun, Arno Bücken
146
Voted
CICLING
2004
Springer
15 years 6 months ago
Extracting Domain Knowledge for Dialogue Model Adaptation
Domain shift is a challenging issue in dialogue management. This paper shows how to extract domain knowledge for dialogue model adaptation. The basic semantic concepts are derived ...
Kuei-Kuang Lin, Hsin-Hsi Chen
129
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ICML
2000
IEEE
16 years 3 months ago
Version Space Algebra and its Application to Programming by Demonstration
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
Tessa A. Lau, Pedro Domingos, Daniel S. Weld
102
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INFORMATICASI
1998
122views more  INFORMATICASI 1998»
15 years 2 months ago
Experimental Evaluation of Three Partition Selection Criteria for Decision Table Decomposition
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
Blaz Zupan, Marko Bohanec