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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 3 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...
ICML
2006
IEEE
15 years 10 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 2 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
NAACL
2007
14 years 11 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»
15 years 11 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