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LEMD2 gene
Known as:
LEMD2
, NUCLEAR ENVELOPE TRANSMEMBRANE PROTEIN 25
, dJ482C21.1
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National Institutes of Health
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
A Comparison of the Quality of Rule Induction from Inconsistent Data Sets and Incomplete Data Sets
Xiaomeng Su
2015
Corpus ID: 124968680
In data mining, decision rules induced from known examples are used to classify unseen cases. There are various rule induction…
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Review
2014
Review
2014
On Exactness , Definability and Vagueness in Partial Approximation Spaces
Adnan Amin
,
Changez Khan
,
Imtiaz Ali
,
S. Anwar
2014
Corpus ID: 40074521
Fuzzy Rough Support Vector Machine for Data Classification Arindam Chaudhuri Faculty of Post Graduate Studies and Research…
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2013
2013
A Preprocessing of Rough Sets Based on Attribute Variation Minimization
Lee Sang-hyun
,
Jeong-Gi Lee
,
Moon Kyung-Il
2013
Corpus ID: 122121316
In the majority of papers on rough set theory itis assumed that the information is complete, i.e., that forall cases all…
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2013
2013
MODIFICATION OF THE IRBASIR ALGORITHM USING REDUCTS
Algoritmo Irbasir
,
Y. Fernández
,
Rafael Bello
,
Yaima Filiberto
,
Yailé Caballero
2013
Corpus ID: 56329700
Feature selection is a preprocessing technique with the objective of fi nding a subset of attributes that improve the classifi er…
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2009
2009
KNOWLEDGE ACQUISITION FROM DATABASE FOR MARINE DIESEL ENGINE DIAGNOSIS
A. Charchalis
,
R. Pawletko
2009
Corpus ID: 106803407
This article presents an attempt to use inductive machine learning methods to knowledge acquisition from the databases for the…
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2008
2008
Prediction of severe brain damage outcome using two data mining methods
Jerzy W. Grzyma a-Busse
,
S. Hippe
,
T. Mroczek
,
Adam Bucinski
,
Strepikowska
,
Andrzej Tutaj
Conference on Human System Interaction
2008
Corpus ID: 20828673
In this paper we report our results on prediction of the Glasgow Outcome Scale for patients affected by severe brain damage. We…
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2006
2006
Haploinsufficiency for LEMD2: what are the phenotypes?
J. Hellemans
,
B. Menten
,
+18 authors
G. Mortier
2006
Corpus ID: 89567155
2003
2003
Machine Learning and Inference Laboratory Validating Learnable Evolution Model on Selected Optimization and Design Problems
G. Cervone
,
Kenneth A. Kaufman
,
R. Michalski
2003
Corpus ID: 3229069
The recently introduced Learnable Evolution Model (LEM) represents a form of non-Darwinian evolutionary computation that is…
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2001
2001
A DAPTIVE A NCHORING D ISCRETIZATION FOR L EARNABLE E VOLUTION M ODEL : T HE ANCHOR M ETHOD
R. Michalski
,
G. Cervone
2001
Corpus ID: 11592503
To apply a symbolic learning method to learning in a continuous representation space, the variables spanning the space need to be…
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Review
1999
Review
1999
2 LEM 2 Theory and Implementation of the Learnable Evolution Model
G. Cervone
,
G. Cervone
,
H. Lam
,
Saritha Mankala
,
S. Thiyagaraj
1999
Corpus ID: 15632334
LEM stands for Learnable Evolution Model and it is an Evolutionary Computation procedure which uses a rule learner program as…
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