A boosting algorithm for regression

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

Volumn 1327, Issue , 1997, Pages 343-348

  Bertoni, A ^a   Campadelli, P ^a   Parodi, M ^a  

^a UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

BOOSTING ALGORITHM; REGRESSION PROBLEM; UPPER BOUND;

ADAPTIVE BOOSTING;

EID: 84956662941     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0020178     Document Type: Conference Paper

References (5)

1. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. Internal Report of AT and T, September (1995)
2. Freund, Y., Schapire, R.E.: Experiments with a new boosting algorithm. Machine Learning: Proc. of Thirteenth Int. Conf. (1996) 148-156
3. V.N. Vapnik (1982) Estimation of Dependences Based on Empirical Data. Springer-Verlag.
4. V.N. Vapnik, A.Y. Chervonenkis (1971) On the uniform convergence of relative frequencies of events to their probabilities. Theory of Probability and its Applications, 16(2): 264-280.
5. Freund, Y.: Boosting a weak learning algorithm by majority. Information and Computation 121 (2) (1995) 256-285