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» A Machine Model for Aspect-Oriented Programming
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136
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NIPS
1998
15 years 4 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
132
Voted
ECML
2007
Springer
15 years 9 months ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
126
Voted
FPL
2001
Springer
123views Hardware» more  FPL 2001»
15 years 8 months ago
Compilation Increasing the Scheduling Scope for Multi-memory-FPGA-Based Custom Computing Machines
This paper presents new achievements on the automatic mapping of algorithms, written in imperative software programming languages, to custom computing machines. The reconfigurable ...
João M. P. Cardoso, Horácio C. Neto
TPDS
1998
157views more  TPDS 1998»
15 years 3 months ago
A Compiler Optimization Algorithm for Shared-Memory Multiprocessors
This paper presents a new compiler optimization algorithm that parallelizes applications for symmetric, sharedmemory multiprocessors. The algorithm considers data locality, parall...
Kathryn S. McKinley
254
Voted
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 7 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...