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» A Framework for Multiple-Instance Learning
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AAAI
2007
15 years 2 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
15 years 1 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»
14 years 6 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»
15 years 6 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
15 years 3 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