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AAAI
2007
13 years 11 months ago
Data Structures for Generalised Arc Consistency for Extensional Constraints
Extensional (table) constraints are an important tool for attacking combinatorial problems with constraint programming. Recently there has been renewed interest in fast propagatio...
Ian P. Gent, Christopher Jefferson, Ian Miguel, Pe...
JMLR
2012
11 years 11 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
ISHPC
2003
Springer
14 years 2 months ago
Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing
Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (n...
Lars Lundberg, Magnus Broberg, Kamilla Klonowska
SIGCSE
1997
ACM
121views Education» more  SIGCSE 1997»
14 years 1 months ago
Application-based modules using apprentice learning for CS 2
A typical Data Structures (CS 2) course covers a wide variety of topics: elementary algorithm analysis; data structures including dynamic structures, trees, tables, graphs, etc.; ...
Owen L. Astrachan, Robert F. Smith, James T. Wilke...
CGVR
2008
13 years 10 months ago
Generating Smooth Virtual Reality Maps Using 3D Building Blocks
- In this paper, we describe a 3D modeling program called RMBL3D, Realistic Maps Built like Legos, which manipulates the architectural repetition in building structures to produce ...
Bradley J. Wimpey, Walter D. Potter