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» Approximate Learning of Dynamic Models
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POPL
2005
ACM
16 years 6 months ago
Synthesis of interface specifications for Java classes
While a typical software component has a clearly specified (static) interface in terms of the methods and the input/output types they support, information about the correct sequen...
P. Madhusudan, Pavol Cerný, Rajeev Alur, Wo...
STOC
2006
ACM
122views Algorithms» more  STOC 2006»
16 years 6 months ago
Fast convergence to Wardrop equilibria by adaptive sampling methods
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...
Simon Fischer, Harald Räcke, Berthold Vö...
202
Voted
CVPR
2008
IEEE
16 years 8 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 6 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 6 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...