3050 search results - page 391 / 610 » On-line Algorithms in Machine Learning |
152
click to vote
JMLR
2010
15 years 3 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
205
Voted
JMLR
2010
14 years 12 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
154
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
176
click to vote
ILP
2007
Springer
15 years 11 months ago
2007
Springer
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
162
click to vote
ICMCS
2006
IEEE
15 years 11 months ago
2006
IEEE
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...