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» An ICA algorithm for analyzing multiple data sets
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APN
2004
Springer
14 years 2 months ago
Reachability Set Generation for Petri Nets: Can Brute Force Be Smart?
Generating the reachability set is one of the most commonly required step when analyzing the logical or stochastic behavior of a system modeled with Petri nets. Traditional “expl...
Gianfranco Ciardo
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
13 years 9 months ago
Near-optimal algorithms for shared filter evaluation in data stream systems
We consider the problem of evaluating multiple overlapping queries defined on data streams, where each query is a conjunction of multiple filters and each filter may be shared acr...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 3 months ago
Boosting for Learning Multiple Classes with Imbalanced Class Distribution
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
Yanmin Sun, Mohamed S. Kamel, Yang Wang 0007
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
14 years 2 months ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
ICPR
2006
IEEE
14 years 10 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang