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» Learning from Highly Structured Data by Decomposition
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BMCBI
2006
135views more  BMCBI 2006»
14 years 10 months ago
iHAP - integrated haplotype analysis pipeline for characterizing the haplotype structure of genes
Background: The advent of genotype data from large-scale efforts that catalog the genetic variants of different populations have given rise to new avenues for multifactorial disea...
Chun Meng Song, Boon Huat Yeo, Erwin Tantoso, Yuch...
NIPS
1990
14 years 11 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
CGF
2004
114views more  CGF 2004»
14 years 10 months ago
Smooth Surface Reconstruction Using Tensor Fields as Structuring Elements
We propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. I...
Marcelo Bernardes Vieira, Paulo P. Martins Jr., Ar...
SIGMOD
2001
ACM
145views Database» more  SIGMOD 2001»
15 years 10 months ago
Automatic Segmentation of Text into Structured Records
In this paper we present a method for automatically segmenting unformatted text records into structured elements. Several useful data sources today are human-generated as continuo...
Vinayak R. Borkar, Kaustubh Deshmukh, Sunita Saraw...
EDM
2009
147views Data Mining» more  EDM 2009»
14 years 8 months ago
an Argument Learning Environment Using Agent-Based ITS (ALES)
This paper presents an agent-based educational environment to teach argument analysis (ALES). The idea is based on the Argumentation Interchange Format Ontology (AIF) using "W...
Safia Abbas, Hajime Sawamura