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» Approximate Data Structures with Applications
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133
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EMNLP
2011
14 years 9 days ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
121
Voted
SIBGRAPI
2008
IEEE
15 years 7 months ago
Tradeoffs in Approximate Range Searching Made Simpler
Range searching is a fundamental problem in computational geometry. The problem involves preprocessing a set of n points in Rd into a data structure, so that it is possible to det...
Sunil Arya, Guilherme Dias da Fonseca, David M. Mo...
100
Voted
RECOMB
2007
Springer
16 years 26 days ago
Production-Passage-Time Approximation: A New Approximation Method to Accelerate the Simulation Process of Enzymatic Reactions
Abstract. Given the substantial computational requirements of stochastic simulation, approximation is essential for efficient analysis of any realistic biochemical system. This pap...
Hiroyuki Kuwahara, Chris J. Myers
187
Voted
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 1 months ago
TALE: A Tool for Approximate Large Graph Matching
Abstract-- Large graph datasets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of informati...
Yuanyuan Tian, Jignesh M. Patel
117
Voted
AISADM
2005
Springer
15 years 6 months ago
A Cooperative Multi-agent Data Mining Model and Its Application to Medical Data on Diabetes
Abstract. We present CoLe, a model for cooperative agents for mining knowledge from heterogeneous data. CoLe allows for the cooperation of different mining agents and the combinat...
Jie Gao, Jörg Denzinger, Robert C. James