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» Using Machine Learning to Focus Iterative Optimization
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ACIVS
2006
Springer
15 years 8 months ago
Stereo Matching Using Scanline Disparity Discontinuity Optimization
We propose a scanline energy minimization algorithm for stereo vision. The proposed algorithm differs from conventional energy minimization techniques in that it focuses on the re...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
125
Voted
KI
2007
Springer
15 years 8 months ago
Making a Robot Learn to Play Soccer Using Reward and Punishment
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
Heiko Müller, Martin Lauer, Roland Hafner, Sa...
ICALT
2008
IEEE
15 years 9 months ago
Competency-Based Intelligent Curriculum Sequencing Using Particle Swarms
As a part of many e-learning initiatives, a set of learning units must be arranged in a particular order to meet the learners’ requirements. This process is known as sequencing ...
Luis de Marcos, Roberto Barchino, José-Javi...
128
Voted
JMLR
2008
129views more  JMLR 2008»
15 years 2 months ago
Finite-Time Bounds for Fitted Value Iteration
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
Rémi Munos, Csaba Szepesvári
145
Voted
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 2 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski