1864 search results - page 12 / 373 » Modeling Classification and Inference Learning |
ICMLA
2009
14 years 10 months ago
2009
In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...
94
Voted
ML
2008
ACM
15 years 11 days ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
94
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
119
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SIGIR
2008
ACM
15 years 10 days ago
2008
ACM
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...