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» Experimental Evaluation of Hierarchical Hidden Markov Models
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ICML
2008
IEEE
16 years 2 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
QEST
2008
IEEE
15 years 8 months ago
Symbolic Magnifying Lens Abstraction in Markov Decision Processes
Magnifying Lens Abstraction in Markov Decision Processes ∗ Pritam Roy1 David Parker2 Gethin Norman2 Luca de Alfaro1 Computer Engineering Dept, UC Santa Cruz, Santa Cruz, CA, USA ...
Pritam Roy, David Parker, Gethin Norman, Luca de A...
ML
2006
ACM
15 years 1 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
IJCAI
2003
15 years 3 months ago
A Learning-Based Jam Session System that Imitates a Player's Personality Model
This paper describes a jam session system that enables a human player to interplay with virtual players which can imitate the player personality models of various human players. P...
Masatoshi Hamanaka, Masataka Goto, Hideki Asoh, No...
WINET
2010
98views more  WINET 2010»
15 years 9 days ago
A mobility-based load control scheme in Hierarchical Mobile IPv6 networks
By introducing a mobility anchor point (MAP), Hierarchical Mobile IPv6 (HMIPv6) reduces the signaling overhead and handoff latency associated with Mobile IPv6. In this paper, we pr...
Sangheon Pack, Taekyoung Kwon, Yanghee Choi