2683 search results - page 70 / 537 » Machine learning problems from optimization perspective |
114
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
85
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
113
Voted
COLING
1996
15 years 3 months ago
1996
We have proposed a method of machine translation, which acquires translation rules from translation examples using inductive learning, and have evaluated the method. And we have c...
95
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
102
Voted
GECCO
2006
Springer
15 years 5 months ago
2006
Springer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...