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ICML
2000
IEEE
16 years 7 months ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
ISBI
2008
IEEE
16 years 7 months ago
Increased sensitivity in FMRI group analysis using mixed-effect modeling
In functional Magnetic Resonance Imaging group studies, uncertainties on the individual BOLD responses are not taken into account by standard detection procedures, which may limit...
Merlin Keller, Alexis Roche
ICTAI
2009
IEEE
16 years 1 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
ALDT
2009
Springer
186views Algorithms» more  ALDT 2009»
16 years 1 months ago
The Complexity of Probabilistic Lobbying
Abstract. We propose various models for lobbying in a probabilistic environment, in which an actor (called “The Lobby”) seeks to influence the voters’ preferences of voting ...
Gábor Erdélyi, Henning Fernau, Judy ...
EPIA
2009
Springer
16 years 1 months ago
Computing Confidence Values: Does Trust Dynamics Matter?
Computational Trust and Reputation (CTR) systems are platforms capable of collecting trust information about candidate partners and of computing confidence scores for each one of t...
Joana Urbano, Ana Paula Rocha, Eugénio C. O...