Sciweavers

1243 search results - page 121 / 249
» Reduced-Rank Hidden Markov Models
Sort
View
AR
2011
15 years 16 hour ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
SIGDIAL
2010
15 years 2 months ago
Modeling User Satisfaction Transitions in Dialogues from Overall Ratings
This paper proposes a novel approach for predicting user satisfaction transitions during a dialogue only from the ratings given to entire dialogues, with the aim of reducing the c...
Ryuichiro Higashinaka, Yasuhiro Minami, Kohji Dohs...
ICDAR
2009
IEEE
15 years 2 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
172
Voted
ECML
2005
Springer
15 years 10 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
156
Voted
EMNLP
2009
15 years 2 months ago
The infinite HMM for unsupervised PoS tagging
We extend previous work on fully unsupervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we address the problem of choosing...
Jurgen Van Gael, Andreas Vlachos, Zoubin Ghahraman...