Sciweavers

186 search results - page 4 / 38
» Learning directed probabilistic logical models from relation...
Sort
View
ENC
2005
IEEE
15 years 3 months ago
A Probabilistic Relational Student Model for Virtual Laboratories
The main purpose of this work is to develop an intelligent tutor system coupled to a robotics virtual laboratory, in order to offer a tutored virtual learning environment. The stu...
Julieta Noguez, Luis Enrique Sucar
90
Voted
EMNLP
2010
14 years 7 months ago
Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...
87
Voted
DAGSTUHL
2007
14 years 11 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...
74
Voted
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 3 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
FUIN
2008
108views more  FUIN 2008»
14 years 8 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel