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NIPS
2007
15 years 3 months ago
Structured Learning with Approximate Inference
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
Alex Kulesza, Fernando Pereira
ICML
2003
IEEE
16 years 2 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
ACL
2010
14 years 11 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
MFCS
2009
Springer
15 years 8 months ago
Query Automata for Nested Words
We study visibly pushdown automata (VPA) models for expressing and evaluating queries, expressed using MSO formulas, on words with a nesting structure (like XML documents). We deļ...
P. Madhusudan, Mahesh Viswanathan
ICWL
2007
Springer
15 years 7 months ago
A Piece-Wise Learning Approach to 3D Facial Animation
Web-based 3D facial animation is an alternative of face to face communication. Animating 3D human faces is also a difficult task because of the substantive non-rigid facial motions...
Yushun Wang, Yueting Zhuang, Jun Xiao, Fei Wu