Sciweavers

12194 search results - page 41 / 2439
» Numberings Optimal for Learning
Sort
View
108
Voted
JMLR
2012
13 years 2 months ago
Generic Methods for Optimization-Based Modeling
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
Justin Domke
104
Voted
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 1 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
SAT
2005
Springer
138views Hardware» more  SAT 2005»
15 years 6 months ago
On Applying Cutting Planes in DLL-Based Algorithms for Pseudo-Boolean Optimization
The utilization of cutting planes is a key technique in Integer Linear Programming (ILP). However, cutting planes have seldom been applied in Pseudo-Boolean Optimization (PBO) algo...
Vasco M. Manquinho, João P. Marques Silva
109
Voted
FOCI
2007
IEEE
15 years 6 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
SAB
2010
Springer
226views Optimization» more  SAB 2010»
14 years 11 months ago
Distributed Online Learning of Central Pattern Generators in Modular Robots
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
David Johan Christensen, Alexander Spröwitz, ...