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» Efficient Learning of Semi-structured Data from Queries
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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 5 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
JUCS
2008
156views more  JUCS 2008»
15 years 4 months ago
Efficient k-out-of-n Oblivious Transfer Schemes
Abstract: Oblivious transfer is an important cryptographic protocol in various security applications. For example, in on-line transactions, a k-out-of-n oblivious transfer scheme a...
Cheng-Kang Chu, Wen-Guey Tzeng
ICML
2009
IEEE
16 years 5 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
217
Voted
SIGMOD
2007
ACM
150views Database» more  SIGMOD 2007»
16 years 4 months ago
System design issues in sensor databases
In-network sensor query processing systems (ISQPs), or sensor databases, have been developed to acquire, process and aggregate data from wireless sensor networks (WSNs). Because W...
Qiong Luo, Hejun Wu
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
14 years 11 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke