1474 search results - page 77 / 295 » Using Machine Learning to Focus Iterative Optimization |
137
Voted
ICML
1996
IEEE
15 years 6 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
135
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
110
Voted
IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
110
Voted
ICONIP
2007
15 years 4 months ago
2007
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
138
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....