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» Kernels for Semi-Structured Data
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120
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FGCS
2007
86views more  FGCS 2007»
15 years 3 months 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
131
Voted
AAAI
2007
15 years 6 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...
132
Voted
UAI
2000
15 years 5 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
133
Voted
ICCS
2004
Springer
15 years 9 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...
155
Voted
ISCAS
1994
IEEE
138views Hardware» more  ISCAS 1994»
15 years 7 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