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» Optimization of Linear Logic Programs Using Counting Methods
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CIKM
2011
Springer
12 years 7 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
CISS
2008
IEEE
14 years 1 months ago
Compressed channel sensing
—Reliable wireless communications often requires accurate knowledge of the underlying multipath channel. This typically involves probing of the channel with a known training wave...
Waheed Uz Zaman Bajwa, Jarvis Haupt, Gil M. Raz, R...
TKDE
2012
199views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Subscriber Assignment for Wide-Area Content-Based Publish/Subscribe
— We study the problem of assigning subscribers to brokers in a wide-area content-based publish/subscribe system. A good assignment should consider both subscriber interests in t...
Albert Yu, Pankaj K. Agarwal, Jun Yang
AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
GLOBECOM
2010
IEEE
13 years 5 months ago
Column Generation for Dimensioning Resilient Optical Grid Networks with Relocation
Nowadays, the Quality of Service (QoS) in Optical Grids has become a key issue. An important QoS factor is the resiliency, namely the ability to survive from certain network failur...
Brigitte Jaumard, Jens Buysse, Ali Shaikh, Marc De...