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216
Voted
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
16 years 7 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
206
Voted
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
16 years 4 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
167
Voted
ATAL
2009
Springer
16 years 1 months ago
Self-deceptive decision making: normative and descriptive insights
Computational modeling of human belief maintenance and decision-making processes has become increasingly important for a wide range of applications. We present a framework for mod...
Jonathan Y. Ito, David V. Pynadath, Stacy C. Marse...
201
Voted
ESCIENCE
2007
IEEE
16 years 1 months ago
Distributed and Generic Maximum Likelihood Evaluation
This paper presents GMLE 1 , a generic and distributed framework for maximum likelihood evaluation. GMLE is currently being applied to astroinformatics for determining the shape o...
Travis J. Desell, Nathan Cole, Malik Magdon-Ismail...
230
Voted
ICS
2007
Tsinghua U.
16 years 1 months ago
Performance driven data cache prefetching in a dynamic software optimization system
Software or hardware data cache prefetching is an efficient way to hide cache miss latency. However effectiveness of the issued prefetches have to be monitored in order to maximi...
Jean Christophe Beyler, Philippe Clauss