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JMLR
2012
12 years 1 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
14 years 12 days 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»
13 years 11 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»
14 years 4 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
14 years 10 days 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