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» A Probabilistic Approach to Predict Peers
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149
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TMM
2002
104views more  TMM 2002»
15 years 4 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
149
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BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
15 years 2 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
BICOB
2009
Springer
15 years 9 months ago
Computational Prediction of Genes Translationally Regulated by Cytoplasmic Polyadenylation Elements
Cytoplasmic post-transcriptional modification of mRNA transcripts in the form of polyadenylated (poly(A)) tails plays a key role in their translational control. The timing and degr...
Eric C. Rouchka, Xiangping Wang, James H. Graham, ...
JSAC
2006
199views more  JSAC 2006»
15 years 4 months ago
IDES: An Internet Distance Estimation Service for Large Networks
The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
Yun Mao, Lawrence K. Saul, Jonathan M. Smith
155
Voted
ICML
2007
IEEE
16 years 5 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...