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» A Framework for Multiple-Instance Learning
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AAAI
2007
13 years 10 months ago
Learning by Combining Observations and User Edits
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
COLT
2008
Springer
13 years 9 months ago
Learning Coordinate Gradients with Multi-Task Kernels
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Yiming Ying, Colin Campbell
JMLR
2010
144views more  JMLR 2010»
13 years 2 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
HICSS
2007
IEEE
98views Biometrics» more  HICSS 2007»
14 years 2 months ago
An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results
The authors present experimental and simulation results of an outcome-based learning model as it applies to the identification of emerging threats. This model integrates judgment,...
Ignacio J. Martinez-Moyano, Stephen H. Conrad, Dav...
AII
1989
13 years 12 months ago
Towards Representation Independence in PAC Learning
In the recent development ofwrious models of learning inspired by the PAC learning model (introduced by Valiant) there has been a trend towards models which are as representation ...
Manfred K. Warmuth