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» On Infinite Cycles I
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ICML
2007
IEEE
16 years 5 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
ICML
2008
IEEE
16 years 5 months ago
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubi...
ATAL
2008
Springer
15 years 6 months ago
Emerging coordination in infinite team Markov games
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
Francisco S. Melo, M. Isabel Ribeiro
DM
2008
94views more  DM 2008»
15 years 4 months ago
On low degree k-ordered graphs
A simple graph G is k-ordered (respectively, k-ordered hamiltonian) if, for any sequence of k distinct vertices v1, . . . , vk of G, there exists a cycle (respectively, a hamilton...
Karola Mészáros
HYBRID
2007
Springer
15 years 10 months ago
Learning Cycle-Linear Hybrid Automata for Excitable Cells
Radu Grosu, S. Mitra, Pei Ye, Emilia Entcheva, I. ...