Generalized risk zone: Selecting observations for classification

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 7, 2009, Pages 1331-1337

  Peres, R T ^a   Pedreira, C E ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Classification; Neural networks; Observations selection; Risk zone; Support vector machine

Indexed keywords

CLASSIFICATION; CLASSIFICATION PERFORMANCE; INFORMATION THEORETIC LEARNING; LEARNING VECTOR QUANTIZATION; NEAREST NEIGHBORS; OBSERVATIONS SELECTION; PROBABILITY DENSITIES; RISK ZONE; RISK ZONES; SAMPLE SETS;

EDUCATION; GEARS; IMAGE RETRIEVAL; INFORMATION THEORY; MULTILAYER NEURAL NETWORKS; RISK PERCEPTION; SUPPORT VECTOR MACHINES; VECTOR QUANTIZATION; VECTORS;

FEEDFORWARD NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; METHODOLOGY; RISK ASSESSMENT; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED; RISK ASSESSMENT;

EID: 67349218801     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.269     Document Type: Article

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