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» Dirichlet Process Mixtures of Generalized Linear Models
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DOCENG
2006
ACM
15 years 5 months ago
Minimum sized text containment shapes
In many text-processing applications, we would like shapes that expand (or shrink) in size to fit their textual content. We address how to efficiently compute the minimum size fo...
Nathan Hurst, Kim Marriott, Peter Moulder
PLDI
2003
ACM
15 years 5 months ago
Taming the IXP network processor
We compile Nova, a new language designed for writing network processing applications, using a back end based on integer-linear programming (ILP) for register allocation, optimal b...
Lal George, Matthias Blume
ACMICEC
2008
ACM
276views ECommerce» more  ACMICEC 2008»
15 years 1 months ago
A Bayesian network for IT governance performance prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT...
Mårten Simonsson, Robert Lagerström, Po...
AAAI
2006
15 years 1 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
ICML
2004
IEEE
16 years 16 days ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...