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» A Data Locality Optimizing Algorithm
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DAGM
2011
Springer
14 years 2 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
ICANN
2003
Springer
15 years 7 months ago
Optimizing Property Codes in Protein Data Reveals Structural Characteristics
We search for assignments of numbers to the amino acids (property codes) that maximize the autocorrelation function signal in given protein sequence data by an iterative method. Ou...
Olaf Weiss, Andreas Ziehe, Hanspeter Herzel
99
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ECML
2007
Springer
15 years 8 months ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
WEA
2005
Springer
176views Algorithms» more  WEA 2005»
15 years 7 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
ICDE
2010
IEEE
311views Database» more  ICDE 2010»
15 years 11 months ago
Detecting Inconsistencies in Distributed Data
— One of the central problems for data quality is inconsistency detection. Given a database D and a set Σ of dependencies as data quality rules, we want to identify tuples in D ...
Wenfei Fan, Floris Geerts, Shuai Ma, Heiko Mü...