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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2687, Issue , 2003, Pages 663-670

Improved AURA k-nearest neighbour approach

(5) Weeks, Michael a Hodge, Vicky a O'Keefe, Simon a Austin, Jim a Lees, Ken a

a UNIVERSITY OF YORK (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATIVE PROCESSING; SAMPLING; CLASSIFIERS; LEARNING SYSTEMS; NEURAL NETWORKS;

ASSOCIATIVE MEMORY; BINARY NEURAL NETWORKS; CLASSICATION; INPUT VECTOR; K NEAREST NEIGHBOURS (K-NN); K-NEAREST NEIGHBOURS; SAMPLE SETS; SAMPLE SIZES; CLASSIFICATION METHODS; DATA SETS; DATA SPACE; HIGH-SPEED; K-NN CLASSIFIER; NEURAL-NETWORK; PATTERN CLASSIFICATION;

NEAREST NEIGHBOR SEARCH; PROBLEM SOLVING;

EID: 35248849727 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/3-540-44869-1_84 Document Type: Article

Times cited : (6)

References (9)

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2
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3
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- A High Performance k-NN Approach using Binary Neural Networks
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- Hodge, V.¹ Austin, J.²

4
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- The Advanced Uncertain Reasoning Architecture
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- Austin, J.¹ Kennedy, J.² Lees, K.³

5
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- Non-Holographic Associative Memory
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- Willshaw, D.J.¹ Buneman, O.P.² Longuet-Higgins, H.C.³

6
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- Distributive Associative Memories for High Speed Symbolic Reasoning
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- Austin, J.¹

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.