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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
16 years 6 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
CHI
2004
ACM
16 years 6 months ago
Impact of interruption style on end-user debugging
Although researchers have begun to explicitly support enduser programmers' debugging by providing information to help them find bugs, there is little research addressing the ...
T. J. Robertson, Shrinu Prabhakararao, Margaret M....
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
16 years 1 days ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
DAGM
2001
Springer
15 years 10 months ago
3D Model Retrieval with Spherical Harmonics and Moments
We consider 3D object retrieval in which a polygonal mesh serves as a query and similar objects are retrieved from a collection of 3D objects. Algorithms proceed first by a normal...
Dietmar Saupe, Dejan V. Vranic
ABIALS
2008
Springer
15 years 8 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...