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FLAIRS
2001
15 years 19 days ago
A Method for Evaluating Elicitation Schemes for Probabilities
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Haiqin Wang, Denver Dash, Marek J. Druzdzel
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 11 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
IIE
2008
104views more  IIE 2008»
14 years 11 months ago
Exploring Technologies, Materials, and Methods for an Online Foundational Programming Course
Introductory computer programming courses are inherently challenging for a variety of reasons. With increased demands for online delivery, the use of effective technologies, materi...
Eman El-Sheikh, John W. Coffey, Laura J. White
IJON
2006
56views more  IJON 2006»
14 years 11 months ago
A computational model of anterior intraparietal (AIP) neurons
The monkey parietal anterior intraparietal area (AIP) is part of the grasp planning and execution circuit which contains neurons that encode object features relevant for grasping,...
Erhan Oztop, Hiroshi Imamizu, Gordon Cheng, Mitsuo...
IJON
2007
99views more  IJON 2007»
14 years 11 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi