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» Covariance Kernels from Bayesian Generative Models
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EMNLP
2006
13 years 9 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson
NIPS
2003
13 years 9 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
COGSCI
2002
108views more  COGSCI 2002»
13 years 7 months ago
Statistical models for the induction and use of selectional preferences
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
Marc Light, Warren R. Greiff
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
14 years 16 hour ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
ICDM
2007
IEEE
139views Data Mining» more  ICDM 2007»
14 years 2 months ago
Data Clustering with a Relational Push-Pull Model
We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
Adam Anthony, Marie desJardins