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Learning Theory - 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings (Paperback, 2007 ed.)
Nader Bshouty, Claudio Gentile
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R3,069
Discovery Miles 30 690
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Ships in 10 - 15 working days
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This volumecontains paperspresentedatthe 20thAnnualConferenceonLea-
ing Theory (previously known as the Conference on Computational
Learning Theory) held in San Diego, USA, June 13-15, 2007, as part
of the 2007 Fed- ated Computing Research Conference (FCRC). The
Technical Program contained 41 papers selected from 92 submissions,
5 open problems selected from among 7 contributed, and 2 invited
lectures. The invited lectures were givenby Dana Ron on
PropertyTesting: A Learning T- oryPerspective,
andbySantoshVempalaon SpectralAlgorithmsforLearning and Clustering.
The abstracts of these lectures are included in this volume. The
Mark Fulk Award is presented annually for the best paper
co-authored by a student. The student selected this year was Samuel
E. Moelius III for the paper U-Shaped, Iterative, and
Iterative-with-Counter Learning co-authored with John Case. This
year, student awards were also granted by the Machine
LearningJournal.Wehavethereforebeenabletoselecttwomorestudentpapers
forprizes.Thestudents selectedwereLev Reyzinforthe paper
LearningLarge- Alphabet and Analog Circuits with Value Injection
Queries (co-authored with Dana Angluin, James Aspnes, and Jiang
Chen), and Jennifer Wortman for the paper Regret to the Best vs.
Regret to the Average (co-authored with Eyal Even-Dar, Michael
Kearns, and Yishay Mansour). The selected papers cover a wide range
of topics, including unsupervised, semisupervisedand
activelearning, statistical learningtheory, regularizedlea- ing,
kernel methods and SVM, inductive inference, learning algorithms
and l- itations on learning, on-line and reinforcement learning.
The last topic is part- ularly well represented, covering alone
more than one-fourth of the total."
This book highlights new and original contributions on Graph Theory
and Combinatorial Optimization both from the theoretical point of
view and from applications in all fields. The book chapters
describe models and methods based on graphs, structural properties,
discrete optimization, network optimization, mixed-integer
programming, heuristics, meta-heuristics, math-heuristics, and
exact methods as well as applications. The book collects selected
contributions from the CTW2020 international conference (18th
Cologne-Twente Workshop on Graphs and Combinatorial Optimization),
held online on September 14-16, 2020. The conference was organized
by IASI-CNR with the contribution of University of Roma Tre,
University Roma Tor Vergata, and CNRS-LIX and with the support of
AIRO. It is addressed to researchers, PhD students, and
practitioners in the fields of Graph Theory, Discrete Mathematics,
Combinatorial Optimization, and Operations Research.
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Algorithmic Learning Theory - 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings (Paperback, 1st ed. 2015)
Kamalika Chaudhuri, Claudio Gentile, Sandra Zilles
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R2,789
Discovery Miles 27 890
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 26th International
Conference on Algorithmic Learning Theory, ALT 2015, held in Banff,
AB, Canada, in October 2015, and co-located with the 18th
International Conference on Discovery Science, DS 2015. The 23 full
papers presented in this volume were carefully reviewed and
selected from 44 submissions. In addition the book contains 2 full
papers summarizing the invited talks and 2 abstracts of invited
talks. The papers are organized in topical sections named:
inductive inference; learning from queries, teaching complexity;
computational learning theory and algorithms; statistical learning
theory and sample complexity; online learning, stochastic
optimization; and Kolmogorov complexity, algorithmic information
theory.
In der aktuellen Debatte uber die Rolle von Unternehmen in der
sich wandelnden Gesellschaft stellt sich immer starker die Frage
nach der sozialen Verantwortung. Experten aus Wissenschaft und
Praxis untersuchen auf der Grundlage einer reprasentativen
Befragung von mehr als 2.000 in der Schweiz tatigen Unternehmen das
gemeinnutzige Engagement dieser Unternehmen und ihrer Mitarbeiter.
Ausserdem werden anhand von Fallstudien und Evaluationen konkreter
Corporate-Volunteering(CV)-Programme wichtige Erkenntnisse zur
Einbettung und Umsetzung von CV-Aktivitaten in Betrieben
dargestellt. Untersucht werden dabei die Beweggrunde der
unterschiedlichen Teilnehmergruppen, die strukturelle und
kulturelle Einbettung im Unternehmen sowie die Rahmenbedingungen
fur erfolgversprechende Kooperationen mit NPOs. Abschliessend
werden Handlungsfelder aufgezeigt und Anregungen zur Umsetzung von
CV in der Unternehmenspraxis gegeben.
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