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» On regularization algorithms in learning theory
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160
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ICML
2007
IEEE
16 years 5 months ago
On learning with dissimilarity functions
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Liwei Wang, Cheng Yang, Jufu Feng
155
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WEA
2005
Springer
176views Algorithms» more  WEA 2005»
15 years 10 months ago
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
David A. Bader
164
Voted
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 9 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 7 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ICICIC
2006
IEEE
15 years 11 months ago
An Edge-Driven Total Variation Approach to Image Deblurring and Denoising
Traditional nonlinear filtering techniques are observed in underutilization of blur identification techniques, and vice versa. To improve blind image restoration, a designed edg...
Hongwei Zheng, Olaf Hellwich