1393 search results - page 197 / 279 » Machine Learning by Function Decomposition |
123
click to vote
IJON
2008
15 years 1 months ago
2008
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
CIDM
2007
IEEE
15 years 5 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
159
click to vote
JMLR
2012
13 years 4 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
124
click to vote
COLT
2010
Springer
14 years 11 months ago
2010
Springer
We define a new model of quantum learning that we call Predictive Quantum (PQ). This is a quantum analogue of PAC, where during the testing phase the student is only required to a...
117
click to vote
ATAL
2009
Springer
15 years 8 months ago
2009
Springer
During face-to-face conversation, the speaker’s head is continually in motion. These movements serve a variety of important communicative functions. Our goal is to develop a mod...