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JMLR
2012
13 years 8 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
AAAI
2006
15 years 7 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
BMCBI
2010
129views more  BMCBI 2010»
15 years 6 months ago
The LabelHash Algorithm for Substructure Matching
Background: There is an increasing number of proteins with known structure but unknown function. Determining their function would have a significant impact on understanding diseas...
Mark Moll, Drew H. Bryant, Lydia E. Kavraki
ACMICEC
2003
ACM
152views ECommerce» more  ACMICEC 2003»
15 years 11 months ago
Optimal clearing algorithms for multi-unit single-item and multi-unit combinatorial auctions with demand/supply function bidding
This paper presents new clearing algorithms for multi-unit single-item and multi-unit combinatorial auctions with piecewise linear demand/supply functions. We analyse the complexi...
Viet Dung Dang, Nicholas R. Jennings
VIP
2003
15 years 7 months ago
Edge Detection Based on Modified BP Algorithm of ANN
1 Accurately locating edge points is important for image measurement. This paper describes an edge detection method based on back-propagation algorithm of neural networks. A three-...
Lihong Zheng, Xiangjian He