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» Making Better Use of Global Discretization
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BIBE
2006
IEEE
135views Bioinformatics» more  BIBE 2006»
13 years 11 months ago
Evidence of Multiple Maximum Likelihood Points for a Phylogenetic Tree
An interesting and important, but largely ignored question associated with the ML method is whether there exists only a single maximum likelihood point for a given phylogenetic tr...
Bing Bing Zhou, Monther Tarawneh, Pinghao Wang, Da...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 8 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
BMCBI
2010
133views more  BMCBI 2010»
13 years 5 months ago
Predicting enzyme targets for cancer drugs by profiling human Metabolic reactions in NCI-60 cell lines
Background: Drugs can influence the whole metabolic system by targeting enzymes which catalyze metabolic reactions. The existence of interactions between drugs and metabolic react...
Limin Li, Xiaobo Zhou, Wai-Ki Ching, Ping Wang
PERVASIVE
2008
Springer
13 years 4 months ago
Localized power-aware routing in linear wireless sensor networks
Energy-efficency is a key concern when designing protocols for wireless sensor networks (WSN). This is of particular importance in commercial applications where demonstrable retur...
Marco Zimmerling, Waltenegus Dargie, Johnathan M. ...
CIVR
2007
Springer
195views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Towards optimal bag-of-features for object categorization and semantic video retrieval
Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as ...
Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang 0003