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» Shape analysis algorithm based on information theory
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129
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NIPS
2008
15 years 5 months ago
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung
129
Voted
DMIN
2006
160views Data Mining» more  DMIN 2006»
15 years 5 months ago
MF-tree: Extracting and Clustering the Structural Features from Music Object in MusicXML
In the music information retrieval field, the most important topic is to extract the feature which represents the content from the music objects. The content feature is useful for ...
Yu-Chih Shen, Jia-Lien Hsu, Shuk-Chun Chung
141
Voted
SOFSEM
2010
Springer
16 years 14 days ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
121
Voted
CIKM
2011
Springer
14 years 3 months ago
Joint inference for cross-document information extraction
Previous information extraction (IE) systems are typically organized as a pipeline architecture of separated stages which make independent local decisions. When the data grows bey...
Qi Li, Sam Anzaroot, Wen-Pin Lin, Xiang Li, Heng J...
122
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ICPP
2006
IEEE
15 years 9 months ago
Parallel Information Extraction on Shared Memory Multi-processor System
Text Mining is one of the best solutions for today and the future’s information explosion. With the development of modern processor technologies, it will be a mass market deskto...
Jiulong Shan, Yurong Chen, Qian Diao, Yimin Zhang