1018 search results - page 68 / 204 » Learning Probabilistic Models of Contours |
SIGIR
2003
ACM
15 years 3 months ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
DAGM
2008
Springer
14 years 11 months ago
2008
Springer
We propose a probabilistic segmentation scheme, which is widely applicable to some extend. Besides the segmentation itself our model incorporates object specific shading. Dependent...
ATAL
2010
Springer
14 years 11 months ago
2010
Springer
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
NIPS
2004
14 years 11 months ago
2004
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...