Model Combination in the multiple-data-batches scenario (1997)

Cached

Download Links

by Kai Ming Ting , Boon Toh Low
Venue:Proc. 9th ECML
Citations:10 - 1 self

Documents Related by Co-Citation

2479 Bagging Predictors – Leo Breiman, Leo Breiman - 1996
539 An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants – Eric Bauer, Ron Kohavi - 1999
4905 C4.5: Programs for Machine Learning – J R Quinlan - 1993
126 Error Reduction through Learning Multiple Descriptions – Kamal M. Ali, Michael J. Pazzani - 1996
110 A Comparative Evaluation of Voting and Meta-learning on Partitioned Data – Philip Chan, Salvatore J. Stolfo - 1995
1625 Experiments with a New Boosting Algorithm – Yoav Freund, Robert E. Schapire - 1996
37 On Pruning and Averaging Decision Trees – Jonathan J. Oliver, David J. Hand - 1995
9 Protein folding class predictor for SCOP: approach based on global descriptors [in process citation]. Ismb – I Dubchak, I Muchnik, Kim SH - 1997
9 The automatic discovery of structural principles describing protein fold space – A Cootes - 2003
8 Relationships between protein sequence and structure patterns based on residue contacts, Proteins Struct Funct Genet – J Selbig, P Argos - 1998
7 Enlarged representative set of proteins – U Hobohm, C Sander - 1994
76 SCOP: a Structural Classification of Proteins database – Loredana Lo Conte, Bart Ailey, Tim J. P. Hubbard, Alexey G. Murzin, Cyrus Chothia - 2000
10 Technologies for Integrating Biological Data – Limsoon Wong - 2002
16 On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning – D B Kell, R D King - 2000
21 Automated discovery of structural signatures of protein fold and function – Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg, Fund Biomolecular Modelling - 2001
55 SCOP database in 2002: refinements accommodate structural genomics – Loredana Lo Conte, Steven E. Brenner, Tim J. P. Hubbard, Cyrus Chothia, Alexey G. Murzin - 2002
17 An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics – Aik Choon Tan, David Gilbert - 2003
25 The supervised learning no-free-lunch Theorems – David H. Wolpert - 2001
23 Knowledge acquisition, consistency checking and concurrency control for Gene Ontology (GO) – Iwei Yeh, Peter D. Karp, Natalya F. Noy, Russ B. Altman - 2003