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Machine Learning: ECML-95: 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings (Lecture Notes in Computer Science) [Paperback]

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Item description for Machine Learning: ECML-95: 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings (Lecture Notes in Computer Science) by Nada Lavrac...

This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995.
Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.



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Item Specifications...


Pages   370
Est. Packaging Dimensions:   Length: 9" Width: 6" Height: 0.8"
Weight:   1.05 lbs.
Binding  Softcover
Release Date   May 12, 1995
Publisher   Springer
ISBN  3540592865  
ISBN13  9783540592860  


Availability  87 units.
Availability accurate as of Jan 24, 2017 08:33.
Usually ships within one to two business days from La Vergne, TN.
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More About Nada Lavrac


Register your artisan biography and upload your photo! This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.

The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.

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Product Categories

1Books > Special Features > New & Used Textbooks > Computer Science & Information Systems > Artificial Intelligence
2Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > General
3Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Machine Learning
4Books > Subjects > Computers & Internet > General
5Books > Subjects > Computers & Internet > Programming > Algorithms > General
6Books > Subjects > Science > General



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