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PATAT
2004
Springer
130views Education» more  PATAT 2004»
15 years 3 months ago
Learning User Preferences in Distributed Calendar Scheduling
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
Jean Oh, Stephen F. Smith
NECO
2006
157views more  NECO 2006»
14 years 10 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
SIGMETRICS
2008
ACM
109views Hardware» more  SIGMETRICS 2008»
14 years 10 months ago
Automatic request categorization in internet services
Modeling system performance and workload characteristics has become essential for efficiently provisioning Internet services and for accurately predicting future resource requirem...
Abhishek Sharma, Ranjita Bhagwan, Monojit Choudhur...
SIAMSC
2011
140views more  SIAMSC 2011»
14 years 23 days ago
A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calcu
Abstract. An efficient parallel algorithm is presented and tested for computing selected components of H−1 where H has the structure of a Hamiltonian matrix of two-dimensional la...
Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Wein...
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 5 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle