Sciweavers

484 search results - page 46 / 97
» Equivalence of state representations for hidden Markov model...
Sort
View
DAC
1997
ACM
15 years 2 months ago
Sequence Compaction for Probabilistic Analysis of Finite-State Machines
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). T...
Diana Marculescu, Radu Marculescu, Massoud Pedram
INTERSPEECH
2010
14 years 4 months ago
Deep-structured hidden conditional random fields for phonetic recognition
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
Dong Yu, Li Deng
EPEW
2008
Springer
14 years 11 months ago
State-Aware Performance Analysis with eXtended Stochastic Probes
We define a mechanism for specifying performance queries which combine instantaneous observations of model states and finite sequences of observations of model activities. We reali...
Allan Clark, Stephen Gilmore
RECOMB
2004
Springer
15 years 10 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
ICMCS
2007
IEEE
143views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Hidden Conditional Random Fields for Meeting Segmentation
Automatic segmentation and classification of recorded meetings provides a basis towards understanding the content of a meeting. It enables effective browsing and querying in a me...
Stephan Reiter, Björn Schuller, Gerhard Rigol...