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NIPS
2008
13 years 5 months ago
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
We propose an efficient sequential Monte Carlo inference scheme for the recently proposed coalescent clustering model [1]. Our algorithm has a quadratic runtime while those in [1]...
Dilan Görür, Yee Whye Teh
NIPS
2007
13 years 5 months ago
Bayesian Agglomerative Clustering with Coalescents
We introduce a new Bayesian model for hierarchical clustering based on a prior over trees called Kingman’s coalescent. We develop novel greedy and sequential Monte Carlo inferen...
Yee Whye Teh, Hal Daumé III, Daniel M. Roy
JMLR
2010
184views more  JMLR 2010»
12 years 11 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...
TSP
2008
91views more  TSP 2008»
13 years 4 months ago
A Sequential Monte Carlo Method for Motif Discovery
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassi...
AMDO
2008
Springer
13 years 6 months ago
Inverse Kinematics Using Sequential Monte Carlo Methods
Abstract. In this paper we propose an original approach to solve the Inverse Kinematics problem. Our framework is based on Sequential Monte Carlo Methods and has the advantage to a...
Nicolas Courty, Elise Arnaud