1364 search results - page 97 / 273 » Sampling Methods for Unsupervised Learning |
112
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurre...
146
Voted
UAI
2004
15 years 4 months ago
2004
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
139
Voted
JMLR
2010
15 years 1 months ago
2010
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
144
Voted
ML
2007
ACM
15 years 2 months ago
2007
ACM
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
141
Voted
JCIT
2010
14 years 9 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....