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140
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AUSAI
2006
Springer
15 years 7 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
120
Voted
EACL
2006
ACL Anthology
15 years 5 months ago
Discriminative Sentence Compression with Soft Syntactic Evidence
We present a model for sentence compression that uses a discriminative largemargin learning framework coupled with a novel feature set defined on compressed bigrams as well as dee...
Ryan T. McDonald
124
Voted
FOCS
2010
IEEE
15 years 1 months ago
The Coin Problem and Pseudorandomness for Branching Programs
The Coin Problem is the following problem: a coin is given, which lands on head with probability either 1/2 + or 1/2 - . We are given the outcome of n independent tosses of this co...
Joshua Brody, Elad Verbin
179
Voted
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 1 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
136
Voted
ICUMT
2009
15 years 1 months ago
Two-layer network coordinate system for Internet distance prediction
Network coordinate (NC) system is an efficient and scalable system for Internet distance prediction. In this paper, we propose 3 two-layer NC systems HNPS, HBBS and HIDES derived f...
Chengbo Dong, Guodong Wang, Xuan Zhang, Beixing De...