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EDM
2010
145views Data Mining» more  EDM 2010»
15 years 8 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
LWA
2008
15 years 8 months ago
Learning to Cope with Critical Situations - An Agent based Approach
How does someone react when he faces a critical situation in his life? In this paper we present an initial initial implementation architecture based on a simulation model described...
Régis Newo, Klaus-Dieter Althoff
158
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ACE
2004
182views Education» more  ACE 2004»
15 years 8 months ago
Learning to Program: Spreadsheets, Scripting and HCI
An examination of some recent programming texts indicates that the complexities of modern programming languages and environments have replaced the study of algorithms and programm...
Peter Warren
CORR
2007
Springer
73views Education» more  CORR 2007»
15 years 6 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...
147
Voted
AAMAS
2002
Springer
15 years 6 months ago
The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents
Abstract. The purpose of this research is to show the relevance of philosophical theories to agent knowledge base (AKB) design, implementation, and behaviour. We will describe how ...
Nicholas Lacey, Mark Lee