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ICSE
2009
IEEE-ACM
16 years 1 months ago
Deployment automation with BLITZ
Minimizing the computing infrastructure (such as processors) in a distributed real-time embedded (DRE) system deployment helps reduce system size, weight, power consumption, and c...
Brian Dougherty, Jules White, Jaiganesh Balasubram...
ML
2008
ACM
15 years 6 months ago
Discovering significant patterns
Pattern discovery techniques, such as association rule discovery, explore large search spaces of potential patterns to find those that satisfy some user-specified constraints. Due...
Geoffrey I. Webb
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 7 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 6 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002
INFOCOM
2010
IEEE
15 years 4 months ago
Distributed Opportunistic Scheduling for Ad-Hoc Communications Under Delay Constraints
—With the convergence of multimedia applications and wireless communications, there is an urgent need for developing new scheduling algorithms to support real-time traffic with ...
Sheu-Sheu Tan, Dong Zheng, Junshan Zhang, James R....