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» An Instance Selection Approach to Multiple Instance Learning
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IEEEHPCS
2010
14 years 7 months ago
Reducing memory requirements of stream programs by graph transformations
Stream languages explicitly describe fork-join parallelism and pipelines, offering a powerful programming model for many-core Multi-Processor Systems on Chip (MPSoC). In an embedd...
Pablo de Oliveira Castro, Stéphane Louise, ...
IJCAI
1989
14 years 11 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
15 years 10 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
CVPR
2009
IEEE
16 years 4 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
IMC
2009
ACM
15 years 4 months ago
The importance of being overheard: throughput gains in wireless mesh networks
A flurry of recent work has focused on the performance gains that may be achieved by leveraging the broadcast nature of the wireless channel. In particular, researchers have obse...
Mikhail Afanasyev, Alex C. Snoeren