1323 search results - page 33 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
109
click to vote
ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
78
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
WEBDB
2009
Springer
15 years 4 months ago
2009
Springer
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...