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» Evaluating machine creativity
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COLING
2010
14 years 11 months ago
Maximum Metric Score Training for Coreference Resolution
A large body of prior research on coreference resolution recasts the problem as a two-class classification problem. However, standard supervised machine learning algorithms that m...
Shanheng Zhao, Hwee Tou Ng
ICML
2008
IEEE
16 years 5 months ago
Exploration scavenging
We examine the problem of evaluating a policy in the contextual bandit setting using only observations collected during the execution of another policy. We show that policy evalua...
John Langford, Alexander L. Strehl, Jennifer Wortm...
LCPC
2000
Springer
15 years 8 months ago
Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP
This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...
Hironori Kasahara, Motoki Obata, Kazuhisa Ishizaka
ACL
2006
15 years 6 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
PERCOM
2005
ACM
16 years 4 months ago
Towards a Pervasive Computing Benchmark
Pervasive computing allows the coupling of the physical world to the information world, and provides a wealth of ubiquitous services and applications that allow users, machines, d...
Anand Ranganathan, Jalal Al-Muhtadi, Jacob T. Bieh...