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» Document Classification Using a Finite Mixture Model
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CHI
2011
ACM
13 years 17 days ago
HyperSource: bridging the gap between source and code-related web sites
Programmers frequently use the Web while writing code: they search for libraries, code examples, tutorials, and documentation. This link between code and visited Web pages remains...
Björn Hartmann, Mark Dhillon, Matthew K. Chan
TSP
2010
13 years 3 months ago
Statistics of Co-Channel Interference in a Field of Poisson and Poisson-Poisson Clustered Interferers
Abstract--With increasing spatial reuse of radio spectrum, cochannel interference is becoming a dominant noise source and may severely degrade the communication performance of wire...
Kapil Gulati, Brian L. Evans, Jeffrey G. Andrews, ...
JCB
2008
159views more  JCB 2008»
13 years 9 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
SIGIR
2006
ACM
14 years 2 months ago
Text clustering with extended user feedback
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
Yifen Huang, Tom M. Mitchell
HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
14 years 3 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan