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CORR
2006
Springer
109views Education» more  CORR 2006»
14 years 9 months ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer
ASPLOS
2008
ACM
14 years 11 months ago
Accurate branch prediction for short threads
Multi-core processors, with low communication costs and high availability of execution cores, will increase the use of execution and compilation models that use short threads to e...
Bumyong Choi, Leo Porter, Dean M. Tullsen
NIPS
2004
14 years 11 months ago
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
Prediction suffix trees (PST) provide a popular and effective tool for tasks such as compression, classification, and language modeling. In this paper we take a decision theoretic...
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
VIP
2003
14 years 11 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
DATE
2010
IEEE
261views Hardware» more  DATE 2010»
15 years 2 months ago
Evaluation and design exploration of solar harvested-energy prediction algorithm
Abstract—To respond to variations in solar energy, harvestedenergy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is depe...
Mustafa Imran Ali, Bashir M. Al-Hashimi, Joaqu&iac...