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» Algorithm Selection via Ranking
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ICML
2005
IEEE
14 years 9 months ago
Augmenting naive Bayes for ranking
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
Harry Zhang, Liangxiao Jiang, Jiang Su
MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 1 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
AIRWEB
2008
Springer
13 years 11 months ago
A few bad votes too many?: towards robust ranking in social media
Online social media draws heavily on active reader participation, such as voting or rating of news stories, articles, or responses to a question. This user feedback is invaluable ...
Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyua...
ICDE
2005
IEEE
132views Database» more  ICDE 2005»
14 years 2 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
BMCBI
2004
95views more  BMCBI 2004»
13 years 8 months ago
PCOGR: Phylogenetic COG ranking as an online tool to judge the specificity of COGs with respect to freely definable groups of or
Background: The rapidly increasing number of completely sequenced genomes led to the establishment of the COG-database which, based on sequence homologies, assigns similar protein...
Florian Meereis, Michael Kaufmann