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ICML
2010
IEEE
15 years 7 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
ICML
2010
IEEE
15 years 7 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
ISLPED
2010
ACM
165views Hardware» more  ISLPED 2010»
15 years 6 months ago
Power-efficient directional wireless communication on small form-factor mobile devices
Wireless access is known to be power-hungry for mobile devices. A key reason is that devices radiate power in all directions and much of this power will not reach the destination....
Ardalan Amiri Sani, Hasan Dumanli, Lin Zhong, Ashu...
MM
2010
ACM
186views Multimedia» more  MM 2010»
15 years 6 months ago
Hybrid load balancing for online games
As massively multiplayer online games are becoming very popular, how to support a large number of concurrent users while maintaining the game performance has become an important r...
Rynson W. H. Lau
RECSYS
2010
ACM
15 years 6 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
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