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JMLR
2010
149views more  JMLR 2010»
14 years 4 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
15 years 2 months ago
Content distribution by multiple multicast trees and intersession cooperation: Optimal algorithms and approximations
—The paper addresses the problem of massive content distribution in the network where multiple sessions coexist. In the traditional approaches, the sessions form separate overlay...
Xiaoying Zheng, Chunglae Cho, Ye Xia
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
ACL
2003
14 years 11 months ago
Learning to Predict Pitch Accents and Prosodic Boundaries in Dutch
We train a decision tree inducer (CART) and a memory-based classifier (MBL) on predicting prosodic pitch accents and breaks in Dutch text, on the basis of shallow, easy-to-comput...
Erwin Marsi, Martin Reynaert, Antal van den Bosch,...
ATAL
2004
Springer
15 years 3 months ago
Decentralized Language Learning through Acting
This paper presents an algorithm for learning the meaning of messages communicated between agents that interact while acting optimally towards a cooperative goal. Our reinforcemen...
Claudia V. Goldman, Martin Allen, Shlomo Zilberste...