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» Beliefs in Agent Implementation
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SODA
2003
ACM
122views Algorithms» more  SODA 2003»
15 years 8 months ago
Certifying and repairing solutions to large LPs how good are LP-solvers?
State-of-the-art linear programming (LP) solvers give solutions without any warranty. Solutions are not guaranteed to be optimal or even close to optimal. Of course, it is general...
Marcel Dhiflaoui, Stefan Funke, Carsten Kwappik, K...
NIPS
2000
15 years 8 months ago
Explaining Away in Weight Space
Explaining away has mostly been considered in terms of inference of states in belief networks. We show how it can also arise in a Bayesian context in inference about the weights g...
Peter Dayan, Sham Kakade
IJCAI
1993
15 years 8 months ago
Nonmonotonic Model Inference-A Formalization of Student Modeling
A student model description language and its synthesis method are presented. The language called SMDL is based on a logic programming language taking 4 truth values such as true, ...
Mitsuru Ikeda, Yasuyuki Kono, Riichiro Mizoguchi
ICML
2010
IEEE
15 years 8 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
JMLR
2010
141views more  JMLR 2010»
15 years 2 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...