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» Optimizing Sorting with Machine Learning Algorithms
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110
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ICML
2006
IEEE
16 years 2 months ago
An intrinsic reward mechanism for efficient exploration
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Özgür Simsek, Andrew G. Barto
129
Voted
ICALT
2008
IEEE
15 years 8 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...
INTEGRATION
2010
172views more  INTEGRATION 2010»
15 years 17 days ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta
135
Voted
SIGIR
2011
ACM
14 years 5 months ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 4 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman