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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
STOC
2003
ACM
171views Algorithms» more  STOC 2003»
14 years 9 months ago
Primal-dual meets local search: approximating MST's with nonuniform degree bounds
We present a new bicriteria approximation algorithm for the degree-bounded minimum-cost spanning tree problem: Given an undirected graph with nonnegative edge weights and degree b...
Jochen Könemann, R. Ravi
SIGMOD
2008
ACM
142views Database» more  SIGMOD 2008»
14 years 8 months ago
Cost-based variable-length-gram selection for string collections to support approximate queries efficiently
Approximate queries on a collection of strings are important in many applications such as record linkage, spell checking, and Web search, where inconsistencies and errors exist in...
Xiaochun Yang, Bin Wang, Chen Li
SIGMOD
2002
ACM
236views Database» more  SIGMOD 2002»
14 years 8 months ago
The Cougar Approach to In-Network Query Processing in Sensor Networks
The widespread distribution and availability of smallscale sensors, actuators, and embedded processors is transforming the physical world into a computing platform. One such examp...
Yong Yao, Johannes Gehrke
ICSE
2005
IEEE-ACM
14 years 8 months ago
Real-time specification patterns
Embedded systems are pervasive and frequently used for critical systems with time-dependent functionality. Dwyer et al. have developed qualitative specification patterns to facili...
Sascha Konrad, Betty H. C. Cheng