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» Optimizing Complex Loss Functions in Structured Prediction
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RTSS
2007
IEEE
14 years 2 months ago
Adapting Futures: Scalability for Real-World Computing
Creating robust real-time embedded software is critical in combining the physical world with computing, such as in consumer electronics or robotics. One challenge is the complexit...
Johannes Helander, Risto Serg, Margus Veanes, Prit...
TCAD
1998
95views more  TCAD 1998»
13 years 7 months ago
High-precision interconnect analysis
— Integrated circuits have evolved to a stage where interconnections significantly limit their performance and functional complexity. We introduce a set of tools to perform high...
Rui Martins, Wolfgang Pyka, Rainer Sabelka, Siegfr...
BMCBI
2006
137views more  BMCBI 2006»
13 years 7 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
SEMCO
2007
IEEE
14 years 2 months ago
Modeling Discriminative Global Inference
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Nicholas Rizzolo, Dan Roth
MPC
1995
Springer
150views Mathematics» more  MPC 1995»
13 years 11 months ago
Architecture Independent Massive Parallelization of Divide-and-Conquer Algorithms
Abstract. We present a strategy to develop, in a functional setting, correct, e cient and portable Divide-and-Conquer (DC) programs for massively parallel architectures. Starting f...
Klaus Achatz, Wolfram Schulte