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ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
16 years 12 days ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
COORDINATION
2007
Springer
16 years 29 days ago
A Coordination Model for Triplespace Computing
Recent advances in middleware technologies propose semantics-aware tuplespaces as an instrument for coping with the requirements of scalability, heterogeneity and dynamism arising ...
Elena Paslaru Bontas Simperl, Reto Krummenacher, L...
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 10 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
NIPS
2007
15 years 8 months ago
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng
HM
2010
Springer
146views Optimization» more  HM 2010»
15 years 7 months ago
An Improved Memetic Algorithm for Break Scheduling
In this paper we consider solving a complex real life break scheduling problem. This problem of high practical relevance arises in many working areas, e.g. in air traffic control a...
Magdalena Widl, Nysret Musliu