A Bayes algorithm for the multitask pattern recognition problem - Direct approach

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

Volumn 2659, Issue , 2003, Pages 3-10

  Puchala, Edward ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DECISION THEORY; LEARNING ALGORITHMS; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION;

BAYES ALGORITHMS; BAYES DECISION THEORY; CONDITIONAL PROBABILITY DENSITY; DIRECT APPROACH; LEARNING SEQUENCES; OPTIMAL ALGORITHM; PATTERN RECOGNITION PROBLEMS; PROBABILISTIC INFORMATION;

ALGORITHMS;

EID: 25144461957     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44863-2_1     Document Type: Article

References (5)

1. Kurzynski, M., Puchala, E., :Algorithms of the multiperspective recognition. Proc. of the 11th Int. Conf. on Pattern Recognition, Hague (1992)
2. th IAPR, Jerusalem, Israel, (1994) 235-239
3. Parzen, E.,: On estimation of a probability density function and mode. Ann. Math. Statist., (1962) Vol.33, 1065-1076
4. Duda, R., Hart, P.,: Pattern classification and scene analysis. John Wiley & Sons, New York (1973)
5. Fukunaga, K., : Introduction to Statistical Pattern Recognition, Academic Press, New York (1972).