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» Data Aggregation Sets in Adaptive Data Model
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ASM
2008
ASM
15 years 8 months ago
Using EventB to Create a Virtual Machine Instruction Set Architecture
A Virtual Machine (VM) is a program running on a conventional microprocessor that emulates the binary instruction set, registers, and memory space of an idealized computing machine...
Stephen Wright
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
16 years 1 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
ICANN
2003
Springer
16 years 17 hour ago
An Adaptable Gaussian Neuro-Fuzzy Classifier
The concept of semantic and context aware intelligent systems provides a vision for the Information Society where the emphasis lays on computing applications that can sense context...
Minas Pertselakis, Dimitrios S. Frossyniotis, Andr...
BMCBI
2006
95views more  BMCBI 2006»
15 years 6 months ago
XcisClique: analysis of regulatory bicliques
Background: Modeling of cis-elements or regulatory motifs in promoter (upstream) regions of genes is a challenging computational problem. In this work, set of regulatory motifs si...
Amrita Pati, Cecilia Vasquez-Robinet, Lenwood S. H...
JMLR
2012
13 years 9 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio