67 search results - page 4 / 14 » Cross-training: learning probabilistic mappings between topi... |
KDD
2005
ACM
13 years 11 months ago
2005
ACM
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
AAAI
2012
11 years 8 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 ...
PKDD
2010
Springer
13 years 4 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
MICCAI
2003
Springer
14 years 6 months ago
2003
Springer
Abstract. This paper proposes a statistical model of functional landmarks delimiting low level visual areas which are highly variable across individuals. Low level visual areas are...