40 search results - page 1 / 8 » Inferring Search Behaviors Using Partially Observable Markov... |
WSDM
2010
ACM
14 years 1 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
PAMI
2007
13 years 3 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
AAAI
2011
12 years 4 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...