Find:

Searching for PHRASE machine learning.

Restrict to:   Header   Title   Order by:   Expected citations   Hubs   Usage   Date   Try:   Google (CiteSeer)   Google (Web)   Yahoo!   MSN   CSB   DBLP
More than 10000 results. Only retrieving 250 documents (System busy - maximum reduced). Retrieving documents... Order: number of citations.

Experiments with a New Boosting Algorithm - Freund, Schapire (1996)   (Correct)   (483 citations)
Machine Learning: Proceedings of the Thirteenth International
of the two methods on a collection of machine-learning benchmarks. In the second set of
www.research.att.com/~schapire/cgi-bin/uncompress-papers/FreundSc96.ps

Reinforcement Learning: A Survey - Leslie Pack Kaelbling, Michael L.. (1996)   (Correct)   (367 citations)
to be accessible to researchers familiar with machine learning. Both the historical basis of the field and
attracted rapidly increasing interest in the machine learning and artificial intelligence communities. Its
Practical issues in temporal difference learning. Machine Learning, 8, 257-277. Tesauro, G. 1994)
www.cs.cmu.edu/~reinf/www/../papers/survey.ps.gz

Irrelevant Features and the Subset Selection Problem - John, Kohavi, Pfleger (1994)   (Correct)   (270 citations)
in 1994, William W. Cohen &Haym Hirsh, eds.Machine Learning: Proceedings of the Eleventh International
and show that the definitions used in the machine learning literature do not adequately partition the
1990. Boolean feature discovery in empirical learning. Machine Learning 5:71-99. Quinlan, J. R. 1986.
www.stanford.edu/~kpfleger/copy/publications/relevance4.ps.gz

A Probabilistic Approach to Concurrent Mapping and.. - Thrun, Burgard, Fox (1998)   (Correct)   (154 citations)
Machine Learning and Autonomous Robots (joint issue)31/5,
of the Thirteenth International Conference on Machine Learning (pp. 266-274)San Mateo, CA: Morgan
www.cs.cmu.edu/~thrun/papers/thrun.maploc.ps.gz

An Experimental Comparison of Three Methods for Constructing.. - Dietterich (1998)   (Correct)   (130 citations)
Machine Learning, 1-22 (1998) c fl 1998 Kluwer Academic
through learning multiple descriptions. Machine Learning, 24 (3)173-202. Bauer, E.Kohavi, R.
ftp.cs.orst.edu/pub/tgd/papers/tr-randomized-c4.ps.gz

A System for Induction of Oblique Decision Trees - Murthy, Kasif, Salzberg (1994)   (Correct)   (120 citations)
challenge and opportunity for automated machine learning techniques. The advent of major scientific
one of the central techniques of experimental machine learning. Many variants of decision tree (DT)
Sigma Press, England. Nilsson, N. 1990)Learning Machines. Morgan Kaufmann, San Mateo, CA. Odewahn,
www.cs.jhu.edu/~murthy/jair94.ps.Z

Text Classification from Labeled and Unlabeled.. - Nigam, McCallum.. (1999)   (Correct)   (119 citations)
Machine Learning, 1-34 (c fl Kluwer Academic
Thrun And Mitchell Two Recent Studies In The Machine Learning Literature Have Used Em To Combine Labeled
www.cs.cmu.edu/afs/cs/user/thrun/public_html/papers/nigam.EM.ps.gz

On the Optimality of the Simple Bayesian Classifier under.. - Domingos, Pazzani (1997)   (Correct)   (107 citations)
there has been a gradual recognition among machine learning researchers that the Bayesian classifier can
results on the Bayesian classifier in the machine learning literature, and recent attempts to extend
www.ics.uci.edu/~pedrod/mlj97.ps.gz

Data Mining: An Overview from a Database Perspective - Chen, Han, Yu (1996)   (Correct)   (104 citations)
a key research topic in database systems and machine learning, and by many industrial companies as an
www.informatik.uni-bonn.de/III/lehre/vorlesungen/DataMining/WS96/literatur/chen97:data.ps.gz

The Parti-game Algorithm for Variable Resolution.. - Moore, Atkeson (1995)   (Correct)   (103 citations)
Machine Learning, 1-36 (To appear) c fl To appear Kluwer
Stochastic Domains: Preliminary Results. In Machine Learning: Proceedings of the Tenth International
ftp.cc.gatech.edu/pub/people/cga/partigame.ps.gz

SLIQ: A Fast Scalable Classifier for Data Mining - Mehta, Agrawal, Rissanen (1996)   (Correct)   (102 citations)
of fact, the largest dataset in the Irvine Machine Learning repositary is only 700KB with 20000
Dec. 1993. 2. J. Catlett. Megainduction: Machine Learning on Very Large Databases. PhD thesis,
www.almaden.ibm.com/u/ragrawal/papers/edbt96_sliq.ps

Multiagent Systems: A Survey from a Machine Learning Perspective - Stone, Veloso (1997)   (Correct)   (85 citations)
Multiagent Systems: A Survey from a Machine Learning Perspective Peter Stone and Manuela Veloso
the techniques presented are biased towards machine learning approaches. Additional opportunities for
reports-archive.adm.cs.cmu.edu/anon/1997/CMU-CS-97-193.ps.gz

Knowledge-Based Artificial Neural Networks - Towell, Shavlik (1994)   (Correct)   (81 citations)
West Dayton St. Madison, WI 53706 Keywords: machine learning, connectionism, explanation-based learning,
paper. Table 1 approximately here. 1 In machine learning, a domain theory [28] is a collection of
of Explanation-Based Methods for Inductive Learning, Machine Learning 4 (1989) 187-226. 13] L. Fu,
www.dai.ed.ac.uk/groups/evalg/Local_Copies_of_Papers/Towell.Shavlik.Knowledge-Based_Artificial_Neural_Networks.ps.gz

Residual Algorithms: Reinforcement Learning with Function.. - Baird (1995)   (Correct)   (75 citations)
by the methods of temporal differences. Machine Learning, 3, 9-44. Tesauro, G. 1990)Neurogammon:
issues in temporal difference learning. Machine Learning, 8(3/4)257277. Watkins, C. J. C. H.
Practical issues in temporal difference learning. Machine Learning, 8(3/4)257277. Watkins, C. J.
www.cs.cmu.edu/People/baird/papers/ml95vfa/paper.ps.gz

Estimating Continuous Distributions in Bayesian Classifiers - John, Langley (1995)   (Correct)   (66 citations)
alternative to more established approaches to machine learning, such as decision-tree induction and neural
provide a promising representation for machine learning for the same reasons they are useful in
robotics.stanford.edu/pub/gjohn/papers/flex.ps

Data Mining Approaches for Intrusion Detection - Lee, Stolfo (1998)   (Correct)   (65 citations)
fields of statistics, pattern recognition, machine learning, and database. Several types of algorithms
used in her experiments [FHSL96]We applied machine learning techniques to produce classifiers that can
www.cs.columbia.edu/~wenke/papers/usenix.ps

A Hierarchical Approach to Wrapper Induction - Muslea, Minton, Knoblock (1999)   (Correct)   (58 citations)
over time. In this paper, we introduce a new machine learning method for wrapper construction that enables
www.isi.edu/ariadne/papers/hwi_aa99.ps

Relational Learning of Pattern-Match Rules for Information.. - Califf, Mooney (1997)   (Correct)   (56 citations)
by hand, making them a good application for machine learning. This paper presents a system, Rapier, that
results on two domains. Content Areas: Machine Learning and Discovery# Tasks or Problems#Learning on
ftp.cs.utexas.edu/pub/mooney/papers/rapier-aaai99-sub.ps.Z

Integrating Planning and Learning: The PRODIGY.. - Veloso, Carbonell.. (1995)   (Correct)   (54 citations)
to test and develop ideas on the role of machine learning in planning and problem solving. In general,
Accordingly most of our work on integrating machine learning and planning, as described above, has
grial.uc3m.es/~dborrajo/papers/jetai.ps

First 20 documents  Next 20

Try your query at:   Google (CiteSeer)   Google (Web)   Yahoo!   MSN   CSB   DBLP

CiteSeer.IST - Copyright Penn State and NEC