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IJCAI
2001
15 years 1 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
CSCWD
2009
Springer
15 years 6 months ago
Using Petri Nets to specify collaborative three dimensional interaction
This work presents a methodology to formally model and to build collaborative three dimensional interaction tasks in virtual environments using three different tools: Petri Nets, ...
Rafael Rieder, Marcio Sarroglia Pinho, Alberto Bar...
SCESM
2006
ACM
269views Algorithms» more  SCESM 2006»
15 years 5 months ago
Inferring operational requirements from scenarios and goal models using inductive learning
Goal orientation is an increasingly recognised Requirements Engineering paradigm. However, integration of goal modelling with operational models remains an open area for which the...
Dalal Alrajeh, Alessandra Russo, Sebastián ...
ML
2002
ACM
128views Machine Learning» more  ML 2002»
14 years 11 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
ICML
2005
IEEE
16 years 20 days ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan