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» Combining Estimators Using Non-Constant Weighting Functions
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COLING
2008
15 years 6 months ago
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
Gholamreza Haffari, Anoop Sarkar
RECOMB
2002
Springer
16 years 4 months ago
A bayesian approach to transcript estimation from gene array data: the BEAM technique
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...
174
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ECIR
2007
Springer
15 years 6 months ago
A Bayesian Approach for Learning Document Type Relevance
Retrieval accuracy can be improved by considering which document type should be filtered out and which should be ranked higher in the result list. Hence, document type can be used...
Peter C. K. Yeung, Stefan Büttcher, Charles L...
CASCON
1996
196views Education» more  CASCON 1996»
15 years 5 months ago
Monitoring overhead in distributed systems: visualization and estimation techniques
Monitoring distributed systems involves the collection, analysis, and display of interactions among managed objects. These functions are carried out by the components of a monitor...
Hasina Abdu, Hanan Lutfi Lutfiyya, Michael A. Baue...
WABI
2007
Springer
102views Bioinformatics» more  WABI 2007»
15 years 10 months ago
Homology Search with Fragmented Nucleic Acid Sequence Patterns
The comprehensive annotation of non-coding RNAs in newly sequenced genomes is still a largely unsolved problem because many functional RNAs exhibit not only poorly conserved sequen...
Axel Mosig, Julian J.-L. Chen, Peter F. Stadler