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ICASSP
2008
IEEE
16 years 1 months ago
Discriminative training by iterative linear programming optimization
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Brian Mak, Benny Ng
NGC
1998
Springer
171views Communications» more  NGC 1998»
15 years 7 months ago
Programming Languages for Distributed Applications
Much progress has been made in distributed computing in the areas of distribution structure, open computing, fault tolerance, and security. Yet, writing distributed applications r...
Seif Haridi, Peter Van Roy, Per Brand, Christian S...
AAIP
2009
15 years 8 months ago
Incremental Learning in Inductive Programming
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...
Robert Henderson
ICFP
2012
ACM
13 years 9 months ago
Functional programming with structured graphs
This paper presents a new functional programming model for graph structures called structured graphs. Structured graphs extend conventional algebraic datatypes with explicit defi...
Bruno C. d. S. Oliveira, William R. Cook
CISIS
2008
IEEE
16 years 1 months ago
Java and the Power of Multi-Core Processing
The new era of multi-core processing challenges software designers to efficiently exploit the parallelism that is now massively available. Programmers have to exchange the conven...
Peter Bertels, Dirk Stroobandt