|
Volumn 5059 LNCS, Issue , 2008, Pages 330-338
|
An incremental feature learning algorithm based on least square support vector machine
|
Author keywords
Incremental Learning; Least Square Support Vector Machine; Support Vector Machine
|
Indexed keywords
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
BOOLEAN FUNCTIONS;
CLASSIFICATION (OF INFORMATION);
CURVE FITTING;
DISTRIBUTION FUNCTIONS;
EDUCATION;
FEATURE EXTRACTION;
FUNCTION EVALUATION;
GEODESY;
IMAGE RETRIEVAL;
LEARNING ALGORITHMS;
LEARNING SYSTEMS;
LEAST SQUARES APPROXIMATIONS;
LOCOMOTIVES;
NEODYMIUM;
PARAMETER ESTIMATION;
PATTERN RECOGNITION;
RAILROAD CARS;
RESEARCH AIRCRAFT;
TELECOMMUNICATION NETWORKS;
VECTORS;
(PL) PROPERTIES;
ALGORITHMICS;
CLASSIFICATION TASKS;
DATA-SETS;
FEATURE LEARNING;
FUNCTION ESTIMATION;
HEIDELBERG (CO);
IN ORDER;
INCREMENTAL LEARNING;
INTERNATIONAL (CO);
KERNEL FUNCTIONS;
LEARNING ENVIRONMENTS;
LEAST SQUARE SUPPORT VECTOR MACHINE (LSSVM);
MACHINE LEARNING LITERATURE;
MEMORY SPACES;
SINGLE KERNEL;
SPRINGER (CO);
STRUCTURAL PARAMETERS;
TRAINING SAMPLES;
TRAINING TIME;
SUPPORT VECTOR MACHINES;
|
EID: 45849111049
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/978-3-540-69311-6_34 Document Type: Conference Paper |
Times cited : (26)
|
References (13)
|