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UAI
2003
15 years 8 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
NIPS
2000
15 years 8 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
UAI
2000
15 years 8 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
CORR
2010
Springer
98views Education» more  CORR 2010»
15 years 7 months ago
Linear Operator Channels over Finite Fields
Motivated by random linear network coding, we study the communication through channels, called linear operator channels (LOCs), that perform linear operation over finite fields. Fo...
Shenghao Yang, Siu-Wai Ho, Jin Meng, En-Hui Yang
CORR
2008
Springer
106views Education» more  CORR 2008»
15 years 7 months ago
Infinity-Norm Sphere-Decoding
Abstract--Promising approaches for efficient detection in multiple-input multiple-output (MIMO) wireless systems are based on sphere-decoding (SD). The conventional (and optimum) n...
Dominik Seethaler, Helmut Bölcskei