18 search results - page 1 / 4 » Learning Hidden Markov Models for Regression using Path Aggr... |
UAI
2008
14 years 10 months ago
2008
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
CDC
2010
IEEE
14 years 4 months ago
2010
IEEE
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
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COLING
2008
14 years 11 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
ICRA
2003
IEEE
15 years 2 months ago
2003
IEEE
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...