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156
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PR
2011
14 years 6 months ago
A novel multi-view learning developed from single-view patterns
The existing Multi-View Learning (MVL) learns how to process patterns with multiple information sources. In generalization this MVL is proven to have a significant advantage over...
Zhe Wang, Songcan Chen, Daqi Gao
87
Voted
COGSCI
2010
64views more  COGSCI 2010»
15 years 3 months ago
A One-to-One Bias and Fast Mapping Support Preschoolers' Learning About Faces and Voices
A multi-modal person representation contains information about what a person looks like and what a person sounds like. However, little is known about how children form these face-...
Mariko Moher, Lisa Feigenson, Justin Halberda
144
Voted
EUSFLAT
2003
152views Fuzzy Logic» more  EUSFLAT 2003»
15 years 5 months ago
Bayesian networks for continuous values and uncertainty in the learning process
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
J. F. Baldwin, E. Di Tomaso
123
Voted
NIPS
2001
15 years 5 months ago
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
Gregory Z. Grudic, Lyle H. Ungar
111
Voted
AAAI
1994
15 years 5 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth