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ICML
2009
IEEE
14 years 11 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
ICML
2005
IEEE
14 years 11 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
KES
2005
Springer
14 years 3 months ago
Generalized Composite Motif Discovery
This paper discusses a general algorithm for the discovery of motif combinations. From a large number of input motifs, discovered by any single motif discovery tool, our algorithm ...
Geir Kjetil Sandve, Finn Drabløs
IPPS
2003
IEEE
14 years 3 months ago
A General Framework for Searching in Distributed Data Repositories
This paper proposes a general framework for searching large distributed repositories. Examples of such repositories include sites with music/video content, distributed digital lib...
Spiridon Bakiras, Panos Kalnis, Thanasis Loukopoul...
SIGCSE
1999
ACM
119views Education» more  SIGCSE 1999»
14 years 2 months ago
Computer science and general education: Java, graphics, and the Web
We describe a Computer Science General Education course offered at Hope College. This course stressesproblem-solving. It uses traditional concepts of programming, but does it with...
Gordon Stegink, Jon Pater, Daron Vroon II