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KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 7 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
13 years 9 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 10 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
WIOPT
2010
IEEE
15 years 5 months ago
Reservation policies for revenue maximization from secondary spectrum access in cellular networks
We consider the problem of providing opportunistic spectrum access to secondary users in wireless cellular networks. From the standpoint of spectrum license holders, achieving ben...
Ashraf Al Daoud, Murat Alanyali, David Starobinski
CGF
2006
191views more  CGF 2006»
15 years 7 months ago
A Robust Two-Step Procedure for Quad-Dominant Remeshing
We propose a new technique for quad-dominant remeshing which separates the local regularity requirements from the global alignment requirements by working in two steps. In the fir...
Martin Marinov, Leif Kobbelt