824 search results - page 95 / 165 » Learning probabilistic logic models from probabilistic examp... |
166
Voted
AAAI
2010
15 years 5 months ago
2010
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
146
click to vote
CIKM
2008
Springer
15 years 6 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
127
click to vote
IRFC
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Information Retrieval (IR) systems combine a variety of techniques stemming from logical, vector-space and probabilistic models. This variety of combinations has produced...
209
click to vote
ALDT
2011
Springer
14 years 3 months ago
2011
Springer
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
145
Voted
AAAI
2012
13 years 6 months ago
2012
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...