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ICML
2005
IEEE
16 years 7 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
ICTAI
2010
IEEE
15 years 4 months ago
Continuous Search in Constraint Programming
This work presents the concept of Continuous Search (CS), which objective is to allow any user to eventually get their constraint solver achieving a top performance on their proble...
Alejandro Arbelaez, Youssef Hamadi, Michèle...
IEEEPACT
2003
IEEE
16 years 1 days ago
Constraint Graph Analysis of Multithreaded Programs
This paper presents a framework for analyzing the performance of multithreaded programs using a model called a constraint graph. We review previous constraint graph definitions fo...
Harold W. Cain, Mikko H. Lipasti, Ravi Nair
CLOUD
2010
ACM
15 years 12 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
IPSN
2004
Springer
16 years 3 days ago
Constraint-guided dynamic reconfiguration in sensor networks
This paper presents an approach for dynamic software reconfiguration in sensor networks. Our approach utilizes explicit models of the design space of the embedded application. The...
Sachin Kogekar, Sandeep Neema, Brandon Eames, Xeno...
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