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» Evaluating Usefulness for Dynamic Classification
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ICFP
2010
ACM
13 years 8 months ago
Scrapping your inefficient engine: using partial evaluation to improve domain-specific language implementation
Partial evaluation aims to improve the efficiency of a program by specialising it with respect to some known inputs. In this paper, we show that partial evaluation can be an effec...
Edwin Brady, Kevin Hammond
PR
2010
147views more  PR 2010»
13 years 6 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
ECCV
2002
Springer
14 years 9 months ago
Evaluating Image Segmentation Algorithms Using the Pareto Front
Image segmentation is the first stage of processing in many practical computer vision systems. While development of particular segmentation algorithms has attracted considerable re...
Mark Everingham, Henk L. Muller, Barry T. Thomas
AWIC
2003
Springer
14 years 29 days ago
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
Javier Carbo Rubiera, Agapito Ledezma
CHI
2010
ACM
14 years 2 months ago
Using concept maps to evaluate the usability of APIs
Application programming interfaces (APIs) are the interfaces to existing code structures, such as widgets, frameworks, or toolkits. Therefore, they very much do have an impact on ...
Jens Gerken, Hans-Christian Jetter, Harald Reitere...