Nitesh Chawla, Thomas E. Moore, Jr., Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, Philip Kegelmeyer  Home/Search
Context Related
| rpi.edu/~zaki/BIOKDD01/....chawla.ps.gz Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: rpi.edu/~zaki/BIOKDD01/ (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: In the Third Critical Assessment of Techniques for Protein Structure Prediction ("CASP-3") contest, the best performance was obtained with a classifier that uses neural networks, a window size of fifteen around a given amino acid, and a training set of about 299,186 amino acids. We set out to investigate the possibility of obtaining better performance by using a bagging-like committee of binary decision trees, created using an order-of-magnitude more training data. There are two main reasons to ... (Update)
Cited by: More
Why are Neural Networks Sometimes Much More Accurate.. - Hall, Liu, Bowyer.. (Correct)
Similar documents (at the sentence level):
22.3%: Bagging Is A Small-Data-Set Phenomenon - Nitesh Chawla Thomas (2001) (Correct)
15.6%: Distributed Learning with Bagging-Like Performance - Nitesh Chawla Thomas (2003) (Correct)
Active bibliography (related documents): More All
1.9: Bagging-Like Effects for Decision Trees and Neural Nets in.. - Thomas (2001) (Correct)
0.3: Informatica 28 Page Xxx--Yyy 1 - Improve Prediction With (Correct)
0.3: Improve Prediction with Remote Learners in Internet Environment - Zhou, Li, Dai (2005) (Correct)
Similar documents based on text: More All
0.7: Distributed Pasting of Small Votes - Bowyer (2002) (Correct)
0.7: Creating Ensembles of Classifiers - Nitesh Chawla Steven (2000) (Correct)
0.6: SMOTE: Synthetic Minority Over-sampling Technique - Chawla, Bowyer, Hall.. (2002) (Correct)
BibTeX entry: (Update)
N. Chawla, T.E. Moore, K.W. Bowyer, L.O. Hall, C. Springer, and W.P. Kegelmeyer. Bagging-like effects for decision trees and neural nets in protein secondary structure prediction. In BIOKDD01: Workshop on DataMining in Bioinformatics at KDD01, pages 50-- 59, 2001. http://citeseer.ist.psu.edu/chawla01bagginglike.html More
@inproceedings{ chawlacvpr,
author = "Nitesh V. Chawla, Thomas E. Moore, Lawrence O. Hall, Kevin W. BowyerW. Philip Kegelmeyer, Clayton Springer",
title = "Bagging-Like Effects for Decision Trees and Neural Nets in Protein Secondary",
booktitle = "ACM SIGKDD Workshop on Data Mining in Bio-Informatics"
Structure Prediction" ,
year=2002,
url = "citeseer.ist.psu.edu/chawla01bagginglike.html" }
Citations (may not include all citations):2177 Programs for Machine Learning (context) - Quinlan - 1992
696 UCI repository of machine learning databases (context) - Blake, Merz - 1998
657 Bagging predictors - Breiman - 1996
372 The cascade-correlation learning architecture - Fahlman, Lebiere - 1990
180 Boosting a weak learning algorithm by majority - Freund - 1995
155 An empirical comparison of voting classification algorithms:.. - Bauer, Kohavi - 1999
145 Sprint: A scalable parallel classifier for data mining - Shafer, Agrawal et al. - 1996
59 Towards parallel and distributed learning by meta-learning - Chan, Stolfo - 1993
44 Protein secondary structure prediction based on decision-spe.. (context) - Jones - 1999
43 Cached sufficient statistics for efficient machine learning .. - Moore, Lee - 1998
29 Learning arbiter and combiner trees from partitioned data fo.. - Chan, Stolfo - 1995
22 Large datasets lead to overly complex models: an explanation.. - Oates, Jensen
18 Pasting bites together for prediction in large data sets - Breiman - 1999
18 Efficient progressive sampling - Provost, Jensen et al. - 1999
16 A Bayesian account and its implications (context) - Domingos, bagging - 1997
8 Parallel induction algorithms for data mining - Darlington, Guo et al. - 1997
6 Decision tree learning on very large data sets (context) - Hall, Chawla et al. - 1998
6 A parallel decision tree builder for mining very large visua.. (context) - Bowyer, Chawla et al. - 2000
6 Learning rules from distributed data - Hall, Chawla et al. - 1999
5 Distributed learning on very large data sets - Hall, Bowyer et al. - 2000
3 Scaling up: Distribtuted machine learning with cooperation (context) - Provost, Hennessy - 1996
2 Scaling leaning by metalearning over disjoint and partially .. (context) - Chan, Stolfo - 1996
http://predictioncenter.llnl.gov/
http://www.sandia.gov/ASCI/Red/
Documents on the same site (http://www.cs.rpi.edu/~zaki/BIOKDD01/): More
Classification of Genes Using Probabilistic Models of.. - Pavlidis, Tang (2001) (Correct)
Analysis Of An Associative Memory Neural Network For Pattern.. - Bicciato (2001) (Correct)
Learning to Recognize Brain Specific Proteins Based on .. - Huss, Boström, Asker, .. (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC