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AAAI
2006
15 years 5 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
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
IASTEDSEA
2004
15 years 5 months ago
Tube: Interactive model-integrated object-oriented programming
Software engineering is hampered by the fact that software systems quickly become so complex that they are hard to understand, evolve and maintain. Closer integration of code and ...
Axel Rauschmayer, Patrick Renner
PDPTA
1996
15 years 5 months ago
Document Retrieval Performance on Parallel Systems
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is de ned a...
David Hawking
DEXAW
2010
IEEE
149views Database» more  DEXAW 2010»
15 years 5 months ago
Using Progressive Filtering to Deal with Information Overload
Abstract-- In the age of Web 2.0 people organize large collections of web pages, articles, or emails in hierarchies of topics, or arrange a large body of knowledge in ontologies. T...
Andrea Addis, Giuliano Armano, Eloisa Vargiu