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NIPS
2007
13 years 9 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
DAC
2005
ACM
14 years 9 months ago
Dynamic slack reclamation with procrastination scheduling in real-time embedded systems
Leakage energy consumption is an increasing concern in current and future CMOS technologygenerations. Procrastination scheduling, where task execution can be delayed to maximize t...
Ravindra Jejurikar, Rajesh K. Gupta
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 1 months ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
FOCS
2005
IEEE
14 years 1 months ago
AdWords and Generalized On-line Matching
How does a search engine company decide what ads to display with each query so as to maximize its revenue? This turns out to be a generalization of the online bipartite matching p...
Aranyak Mehta, Amin Saberi, Umesh V. Vazirani, Vij...
ATAL
2010
Springer
13 years 9 months ago
A quantified distributed constraint optimization problem
In this paper, we propose a Quantified Distributed Constraint Optimization problem (QDCOP) that extends the framework of Distributed Constraint Optimization problems (DCOPs). DCOP...
Toshihiro Matsui, Hiroshi Matsuo, Marius-Calin Sil...