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» Approximation algorithms for developable surfaces
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JMLR
2011
148views more  JMLR 2011»
13 years 3 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
TSP
2011
230views more  TSP 2011»
13 years 3 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
JAIR
2010
130views more  JAIR 2010»
13 years 3 months ago
Interactive Cost Configuration Over Decision Diagrams
In many AI domains such as product configuration, a user should interactively specify a solution that must satisfy a set of constraints. In such scenarios, offline compilation of ...
Henrik Reif Andersen, Tarik Hadzic, David Pisinger
JMLR
2010
149views more  JMLR 2010»
13 years 3 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...
TCIAIG
2010
13 years 3 months ago
The Parametrized Probabilistic Finite-State Transducer Probe Game Player Fingerprint Model
Abstract--Fingerprinting operators generate functional signatures of game players and are useful for their automated analysis independent of representation or encoding. The theory ...
Jeffrey Tsang