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ICML
2008
IEEE
16 years 7 months ago
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubi...
ICML
2008
IEEE
16 years 7 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
ICML
2006
IEEE
16 years 7 months ago
Efficient inference on sequence segmentation models
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Sunita Sarawagi
ICML
2003
IEEE
16 years 7 months ago
Marginalized Kernels Between Labeled Graphs
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...
Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi
ICSE
2009
IEEE-ACM
16 years 7 months ago
Modular string-sensitive permission analysis with demand-driven precision
In modern software systems, programs are obtained by dynamically assembling components. This has made it necessary to subject component providers to access-control restrictions. W...
Emmanuel Geay, Marco Pistoia, Takaaki Tateishi, Ba...