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» An Instance Selection Approach to Multiple Instance Learning
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ISM
2006
IEEE
377views Multimedia» more  ISM 2006»
15 years 9 months ago
Analysis of Felder-Silverman Index of Learning Styles by a Data-Driven Statistical Approach
1 In this paper a data driven analysis of FelderSilverman Index of Learning Styles (ILS) is given. Results, obtained by Multiple Correspondence Analysis and cross-validated by cor...
Silvia Rita Viola, Sabine Graf, Kinshuk, Tommaso L...
117
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ICML
2006
IEEE
16 years 4 months ago
A DC-programming algorithm for kernel selection
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
Andreas Argyriou, Raphael Hauser, Charles A. Micch...
IUI
2000
ACM
15 years 7 months ago
Learning users' interests by unobtrusively observing their normal behavior
For intelligent interfaces attempting to learn a user’s interests, the cost of obtaining labeled training instances is prohibitive because the user must directly label each trai...
Jeremy Goecks, Jude W. Shavlik
119
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NAACL
2007
15 years 4 months ago
Randomized Decoding for Selection-and-Ordering Problems
The task of selecting and ordering information appears in multiple contexts in text generation and summarization. For instance, methods for title generation construct a headline b...
Pawan Deshpande, Regina Barzilay, David R. Karger
ICDE
2009
IEEE
106views Database» more  ICDE 2009»
16 years 5 months ago
Dynamic Approaches to In-network Aggregation
Collaboration between small-scale wireless devices hinges on their ability to infer properties shared across multiple nearby nodes. Wireless-enabled mobile devices in particular cr...
Oliver Kennedy, Christoph Koch, Alan J. Demers