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NIPS
2000
13 years 9 months ago
Temporally Dependent Plasticity: An Information Theoretic Account
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...
Gal Chechik, Naftali Tishby
ATAL
2009
Springer
14 years 2 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
FLAIRS
2001
13 years 9 months ago
User-Agent Interactions in Mixed-Initiative Learning
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...
Dorin Marcu, Mihai Boicu, Gheorghe Tecuci
ICML
2003
IEEE
14 years 8 months ago
Representational Issues in Meta-Learning
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
Alexandros Kalousis, Melanie Hilario
UM
2007
Springer
14 years 1 months ago
A Practical Activity Capture Framework for Personal, Lifetime User Modeling
Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...
Max Van Kleek, Howard E. Shrobe