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IEEEPACT
1998
IEEE
15 years 8 months ago
A Matrix-Based Approach to the Global Locality Optimization Problem
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
DAGSTUHL
2007
15 years 5 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 4 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
127
Voted
MOR
2006
81views more  MOR 2006»
15 years 4 months ago
Simulated Annealing for Convex Optimization
We apply the method known as simulated annealing to the following problem in convex optimization: minimize a linear function over an arbitrary convex set, where the convex set is ...
Adam Tauman Kalai, Santosh Vempala
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 10 months ago
Evolution of robust data distribution among digital organisms
This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digita...
David B. Knoester, Andres J. Ramirez, Philip K. Mc...