543 search results - page 79 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
AROBOTS
2011
13 years 3 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...