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ICMLA
2009
13 years 5 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
VLDB
2011
ACM
276views Database» more  VLDB 2011»
13 years 2 months ago
Ranking queries on uncertain data
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Xuemin Lin
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 8 months ago
Ranking queries on uncertain data: a probabilistic threshold approach
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin
PODS
2010
ACM
232views Database» more  PODS 2010»
14 years 25 days ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
SIGMOD
2006
ACM
158views Database» more  SIGMOD 2006»
14 years 8 months ago
Continuous query processing in data streams using duality of data and queries
Recent data stream systems such as TelegraphCQ have employed the well-known property of duality between data and queries. In these systems, query processing methods are classified...
Hyo-Sang Lim, Jae-Gil Lee, Min-Jae Lee, Kyu-Young ...