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» Learning Approximate Consistencies
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SEC
1996
15 years 5 months ago
Intention modelling: approximating computer user intentions for detection and prediction of intrusions
This paper introduces and describes an innovative modelling approach which utilises models that are synthesised through approximate calculations of user actions and extensive repr...
Thomas Spyrou, John Darzentas
JAL
2006
175views more  JAL 2006»
15 years 4 months ago
Approximations for minimum and min-max vehicle routing problems
: We consider a variety of vehicle routing problems. The input to a problem consists of a graph G = (N, E) and edge lengths l(e) e E. Customers located at the vertices have to be ...
Esther M. Arkin, Refael Hassin, Asaf Levin
CIG
2005
IEEE
15 years 10 months ago
Nannon: A Nano Backgammon for Machine Learning Research
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
Jordan B. Pollack
ICALT
2007
IEEE
15 years 4 months ago
Cognitive Trait Model and Divergent Associative Learning
Cognitive trait model (CTM) is a student model that aims to create profiles of learners’ cognitive traits. Divergent associative learning (DAL) denotes the characteristic of lea...
Taiyu Lin, Kinshuk, Sabine Graf
ICRA
2002
IEEE
87views Robotics» more  ICRA 2002»
15 years 9 months ago
Visual Guided Grasping of Aggregates using Self-Valuing Learning
We present a self-valuing learning technique which is capable of learning how to grasp unfamiliar objects and generalize the learned abilities. The learning system consists of two...
Bernd Rössler, Jianwei Zhang, Alois Knoll