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» On Learning Limiting Programs
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KAIS
2008
150views more  KAIS 2008»
15 years 17 days ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
ECR
2007
116views more  ECR 2007»
15 years 17 days ago
Enabling assisted strategic negotiations in actual-world procurement scenarios
In the everyday business world, the sourcing process of multiple goods and services usually involves complex negotiations (via telephone, fax, etc) that include discussion of prod...
Jesús Cerquides, Maite López-S&aacut...
106
Voted
JSA
2006
97views more  JSA 2006»
15 years 17 days ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
130
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PR
2008
228views more  PR 2008»
15 years 16 days ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
AIEDU
2005
185views more  AIEDU 2005»
15 years 15 days ago
A Bayesian Student Model without Hidden Nodes and its Comparison with Item Response Theory
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...
Michel C. Desmarais, Xiaoming Pu