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NIPS
2007
13 years 10 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...
SIMUTOOLS
2008
13 years 10 months ago
Transforming sources to petri nets: a way to analyze execution of parallel programs
Model checking is a suitable formal technique to analyze parallel programs' execution in an industrial context because automated tools can be designed and operated with very ...
Jean-Baptiste Voron, Fabrice Kordon
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
14 years 2 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
EDBT
2002
ACM
132views Database» more  EDBT 2002»
14 years 8 months ago
A Framework for the Physical Design Problem for Data Synopses
Maintaining statistics on multidimensional data distributions is crucial for predicting the run-time and result size of queries and data analysis tasks with acceptable accuracy. To...
Arnd Christian König, Gerhard Weikum
JMLR
2010
148views more  JMLR 2010»
13 years 3 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal