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IJCAI
2007
15 years 8 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
IMECS
2007
15 years 8 months ago
A Hybrid SPIHT-EBC Image Coder
—Embedded zero-tree coding in wavelet domain has drawn a lot of attention to the image compression applications. Among noteworthy zero-tree algorithms is the SPIHT algorithm. For...
Hsi-Chin Hsin, Jenn-Jier Lien, Tze-Yun Sung
AIPS
2006
15 years 8 months ago
Optimal STRIPS Planning by Maximum Satisfiability and Accumulative Learning
Planning as satisfiability (SAT-Plan) is one of the best approaches to optimal planning, which has been shown effective on problems in many different domains. However, the potenti...
Zhao Xing, Yixin Chen, Weixiong Zhang
FIMI
2004
161views Data Mining» more  FIMI 2004»
15 years 8 months ago
ABS: Adaptive Borders Search of frequent itemsets
In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...
Frédéric Flouvat, Fabien De Marchi, ...
MMNS
2004
106views Multimedia» more  MMNS 2004»
15 years 8 months ago
Content-Based Adaptation of Streamed Multimedia
Most adaptive delivery mechanisms for streaming multimedia content do not explicitly consider user-perceived quality when making adaptation decisions. We show that an optimal adap...
Nicola Cranley, Liam Murphy, Philip Perry
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