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172
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SAC
2006
ACM
15 years 10 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
154
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SODA
2008
ACM
15 years 6 months ago
2008
ACM
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
151
Voted
IPPS
2006
IEEE
15 years 11 months ago
2006
IEEE
Network line cards are experiencing ever increasing line rates, random data bursts, and limited space. Hence, they are more vulnerable than other processormemory environments, to ...
136
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RSFDGRC
1999
Springer
15 years 9 months ago
1999
Springer
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...
108
Voted
ICANN
2005
Springer
15 years 10 months ago
2005
Springer
Multidimensional Scaling (MDS) is a powerful dimension reduction technique for embedding high-dimensional data into a lowdimensional target space. Thereby, the distance relationshi...