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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
ICTIR
2009
Springer
16 years 5 days ago
Time-Sensitive Language Modelling for Online Term Recurrence Prediction
We address the problem of online term recurrence prediction: for a stream of terms, at each time point predict what term is going to recur next in the stream given the term occurre...
Dell Zhang, Jinsong Lu, Robert Mao, Jian-Yun Nie
LATIN
1998
Springer
15 years 9 months ago
Shape Reconstruction with Delaunay Complex
The reconstruction of a shape or surface from a finite set of points is a practically significant and theoretically challenging problem. This paper presents a unified view of algor...
Herbert Edelsbrunner
STOC
2009
ACM
139views Algorithms» more  STOC 2009»
16 years 6 months ago
Online and stochastic survivable network design
Consider the edge-connectivity survivable network design problem: given a graph G = (V, E) with edge-costs, and edgeconnectivity requirements rij Z0 for every pair of vertices i,...
Anupam Gupta, Ravishankar Krishnaswamy, R. Ravi
IADIS
2003
15 years 7 months ago
A Standardizing Harvester Design for Durable Web Content
Online publications are becoming an important information source. Due to the variety of standards and other forms of best practices used in composing online publications, preserva...
Frans Dondorp, Kees van der Meer