4591 search results - page 605 / 919 » Learning from Dyadic Data |
179
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NIPS
1992
15 years 6 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
154
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ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
133
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CORR
2008
Springer
15 years 5 months ago
2008
Springer
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
150
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SOCIALCOM
2010
15 years 2 months ago
2010
In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to p...
152
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TSMC
2010
14 years 11 months ago
2010
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...