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» Phase Transitions in Relational Learning
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NIPS
1998
13 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
IFIP
1999
Springer
13 years 11 months ago
Assessing Instructional Technology
: In a relatively short period of time, educational technology has become a basic component of the instructional life of almost every College or University around the world. The wa...
Lawrence M. Baldwin, Panagiotis Takis Metaxas, Win...
ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
14 years 10 days ago
Fast Reinforcement Learning for Vision-guided Mobile Robots
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Tomás Martínez-Marín, Tom Duc...
LREC
2008
138views Education» more  LREC 2008»
13 years 8 months ago
Language Resources for Semantic Document Annotation and Crosslingual Retrieval
This paper describes the interaction among language resources for an adequate concept annotation of domain texts in several languages. The architecture includes domain ontology, d...
Petya Osenova, Kiril Ivanov Simov, Eelco Mossel
UAI
2003
13 years 8 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey