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» Kernels for Semi-Structured Data
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97
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FGCS
2007
86views more  FGCS 2007»
15 years 20 days ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
96
Voted
AAAI
2007
15 years 3 months ago
Biomind ArrayGenius and GeneGenius: Web Services Offering Microarray and SNP Data Analysis via Novel Machine Learning Methods
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
Ben Goertzel, Cassio Pennachin, Lúcio de So...
103
Voted
UAI
2000
15 years 2 months ago
The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
Andrew W. Moore
118
Voted
ICCS
2004
Springer
15 years 6 months ago
Improving Geographical Locality of Data for Shared Memory Implementations of PDE Solvers
On cc-NUMA multi-processors, the non-uniformity of main memory latencies motivates the need for co-location of threads and data. We call this special form of data locality, geogra...
Henrik Löf, Markus Nordén, Sverker Hol...
ISCAS
1994
IEEE
138views Hardware» more  ISCAS 1994»
15 years 4 months ago
High-Throughput Data Compressor Designs Using Content Addressable Memory
This paper presents a novel VLSI architecture for high-speed data compressor designs which implement the well-known LZ77 algorithm. The architecture mainly consists of three units...
Ren-Yang Yang, Chen-Yi Lee