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AUSAI
2003
Springer
14 years 19 days ago
Choosing Learning Algorithms Using Sign Tests with High Replicability
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
Remco R. Bouckaert
EUROPAR
2003
Springer
14 years 19 days ago
Nswap: A Network Swapping Module for Linux Clusters
Cluster applications that process large amounts of data, such as parallel scientific or multimedia applications, are likely to cause swapping on individual cluster nodes. These ap...
Tia Newhall, Sean Finney, Kuzman Ganchev, Michael ...
ICS
2003
Tsinghua U.
14 years 18 days ago
Estimating cache misses and locality using stack distances
Cache behavior modeling is an important part of modern optimizing compilers. In this paper we present a method to estimate the number of cache misses, at compile time, using a mac...
Calin Cascaval, David A. Padua
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 7 days ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
14 years 6 days ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley