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1
Automated Novelty Detection in Industrial Systems
Automated Novelty Detection in Industrial Systems
Material Type:
Book Chapter 		Add to My Research

Automated Novelty Detection in Industrial Systems

Advances of Computational Intelligence in Industrial Systems, p.269-296 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2008 ;ISSN: 1860-949X ;ISBN: 9783540782964 ;ISBN: 3540782966 ;EISBN: 9783540782971 ;EISBN: 3540782974 ;DOI: 10.1007/978-3-540-78297-1_13

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2
Multi-class classification with SPRT in robotic vision
Multi-class classification with SPRT in robotic vision
Material Type:
Article 		Add to My Research

Multi-class classification with SPRT in robotic vision

Pattern recognition letters, 1988-03, Vol.7 (3), p.129-133 [Peer Reviewed Journal]

1988 ;1989 INIST-CNRS ;ISSN: 0167-8655 ;EISSN: 1872-7344 ;DOI: 10.1016/0167-8655(88)90055-4 ;CODEN: PRLEDG

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3
Pattern recognition method using statistical process
Pattern recognition method using statistical process
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Patent 		Add to My Research

Pattern recognition method using statistical process

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4
Multi-class classifier-independent feature analysis
Multi-class classifier-independent feature analysis
Material Type:
Article 		Add to My Research

Multi-class classifier-independent feature analysis

Pattern recognition letters, 1997-11, Vol.18 (11), p.1219-1224 [Peer Reviewed Journal]

1997 ;ISSN: 0167-8655 ;EISSN: 1872-7344 ;DOI: 10.1016/S0167-8655(97)00118-9

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5
Gene recognition based on DAG shortest paths
Gene recognition based on DAG shortest paths
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Article 		Add to My Research

Gene recognition based on DAG shortest paths

Bioinformatics, 2001-06, Vol.17 (suppl-1), p.S56-S64 [Peer Reviewed Journal]

ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/17.suppl_1.S56 ;PMID: 11472993 ;CODEN: BOINFP

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6
Information Filtering in TREC-9 and TDT-3: A Comparative Analysis
Information Filtering in TREC-9 and TDT-3: A Comparative Analysis
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Article 		Add to My Research

Information Filtering in TREC-9 and TDT-3: A Comparative Analysis

Information retrieval (Boston), 2002-04, Vol.5 (2-3), p.159-187 [Peer Reviewed Journal]

Copyright (c) 2002 Kluwer Academic Publishers ;Kluwer Academic Publishers 2002. ;ISSN: 1386-4564 ;EISSN: 1573-7659 ;DOI: 10.1023/A:1015745911767

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7
A Bayesian network model for protein fold and remote homologue recognition
A Bayesian network model for protein fold and remote homologue recognition
Material Type:
Article 		Add to My Research

A Bayesian network model for protein fold and remote homologue recognition

Bioinformatics (Oxford, England), 2002-06, Vol.18 (6), p.788-801 [Peer Reviewed Journal]

ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/18.6.788 ;PMID: 12075014 ;CODEN: BOINFP

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8
Large scale unstructured document classification using unlabeled data and syntactic information
Large scale unstructured document classification using unlabeled data and syntactic information
Material Type:
Conference Proceeding 		Add to My Research

Large scale unstructured document classification using unlabeled data and syntactic information

Lecture notes in computer science, 2003, p.88-99 [Peer Reviewed Journal]

2003 INIST-CNRS ;ISSN: 0302-9743 ;ISBN: 9783540047605 ;ISBN: 3540047603 ;EISSN: 1611-3349 ;DOI: 10.5555/1760894.1760908

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9
New algorithms for multi-class cancer diagnosis using tumor gene expression signatures
New algorithms for multi-class cancer diagnosis using tumor gene expression signatures
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Article 		Add to My Research

New algorithms for multi-class cancer diagnosis using tumor gene expression signatures

Bioinformatics, 2003-09, Vol.19 (14), p.1800-1807 [Peer Reviewed Journal]

ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btg238 ;PMID: 14512351 ;CODEN: BOINFP

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10
Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines
Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines
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Article 		Add to My Research

Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines

Journal of VLSI signal processing, 2003-11, Vol.35 (3), p.287-295

ISSN: 0922-5773 ;EISSN: 1573-109X ;DOI: 10.1023/B:VLSI.0000003026.58068.ce

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11
Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification
Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification
Material Type:
Conference Proceeding 		Add to My Research

Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification

Intelligent Data Engineering and Automated Learning – IDEAL 2004, 2004, p.132-141 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2004 ;2004 INIST-CNRS ;ISSN: 0302-9743 ;ISBN: 3540228810 ;ISBN: 9783540228813 ;EISSN: 1611-3349 ;EISBN: 9783540286516 ;EISBN: 3540286519 ;DOI: 10.1007/978-3-540-28651-6_19

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12
A Method for Designing Cost-Sensitive ECOC
A Method for Designing Cost-Sensitive ECOC
Material Type:
Conference Proceeding 		Add to My Research

A Method for Designing Cost-Sensitive ECOC

Lecture notes in computer science, 2004, p.204-213 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2004 ;2004 INIST-CNRS ;ISSN: 0302-9743 ;ISBN: 3540221441 ;ISBN: 9783540221449 ;EISSN: 1611-3349 ;EISBN: 9783540259664 ;EISBN: 354025966X ;DOI: 10.1007/978-3-540-25966-4_20

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13
Using an Hebbian learning rule for multi-class SVM classifiers
Using an Hebbian learning rule for multi-class SVM classifiers
Material Type:
Article 		Add to My Research

Using an Hebbian learning rule for multi-class SVM classifiers

Journal of computational neuroscience, 2004-11, Vol.17 (3), p.271-287 [Peer Reviewed Journal]

Copyright (c) 2004 Kluwer Academic Publishers ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0929-5313 ;EISSN: 1573-6873 ;DOI: 10.1023/B:JCNS.0000044873.20850.9c ;PMID: 15483393 ;CODEN: JCNEFR

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14
SYSTEM AND PROCESS FOR A NEURAL NETWORK CLASSIFICATION FOR INSURANCE UNDERWRITING SUITABLE FOR USE BY AN AUTOMATED SYSTEM
SYSTEM AND PROCESS FOR A NEURAL NETWORK CLASSIFICATION FOR INSURANCE UNDERWRITING SUITABLE FOR USE BY AN AUTOMATED SYSTEM
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Patent 		Add to My Research

SYSTEM AND PROCESS FOR A NEURAL NETWORK CLASSIFICATION FOR INSURANCE UNDERWRITING SUITABLE FOR USE BY AN AUTOMATED SYSTEM

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15
System and process for a neural network classification for insurance underwriting suitable for use by an automated system
System and process for a neural network classification for insurance underwriting suitable for use by an automated system
Material Type:
Patent 		Add to My Research

System and process for a neural network classification for insurance underwriting suitable for use by an automated system

Digital Resources/Online E-Resources

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16
System and process for a neural network classification for insurance underwriting suitable for use by an automated system
System and process for a neural network classification for insurance underwriting suitable for use by an automated system
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Patent 		Add to My Research

System and process for a neural network classification for insurance underwriting suitable for use by an automated system

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17
Sequence features of DNA binding sites reveal structural class of associated transcription factor
Sequence features of DNA binding sites reveal structural class of associated transcription factor
Material Type:
Article 		Add to My Research

Sequence features of DNA binding sites reveal structural class of associated transcription factor

Bioinformatics, 2006-01, Vol.22 (2), p.157-163 [Peer Reviewed Journal]

ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/bti731 ;PMID: 16267080 ;CODEN: BOINFP

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18
Systems and methods for computer aided diagnosis and decision support in whole-body imaging
Systems and methods for computer aided diagnosis and decision support in whole-body imaging
Material Type:
Patent 		Add to My Research

Systems and methods for computer aided diagnosis and decision support in whole-body imaging

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19
Medical diagnostic imaging optimization based on anatomy recognition
Medical diagnostic imaging optimization based on anatomy recognition
Material Type:
Patent 		Add to My Research

Medical diagnostic imaging optimization based on anatomy recognition

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20
Support Vector Machines: A Recent Method for Classification in Chemometrics
Support Vector Machines: A Recent Method for Classification in Chemometrics
Material Type:
Article 		Add to My Research

Support Vector Machines: A Recent Method for Classification in Chemometrics

Critical reviews in analytical chemistry, 2006-12, Vol.36 (3-4), p.177-188 [Peer Reviewed Journal]

Copyright Taylor & Francis Group, LLC 2006 ;ISSN: 1040-8347 ;EISSN: 1547-6510 ;DOI: 10.1080/10408340600969486 ;CODEN: CCACBB

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