Algorithmic learning theory : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009 : proceedings / Ricard Gavaldà [and others] (eds.).
Contributor(s): Gavaldà, RicardMaterial type: TextSeries: SerienbezeichnungLNCS sublibrary: ; Lecture notes in computer science: 5809.; Lecture notes in computer science: Publisher: Berlin : Springer, ©2009Description: 1 online resource (xi, 398 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783642044144; 364204414XOther title: ALT 2009Subject(s): Computer algorithms -- Congresses | Machine learning -- Congresses | Informatique | Computer algorithms | Machine learning | Algorithmische Lerntheorie | informatieontsluiting | information retrieval | informatieopslag | information storage | modellen | models | patroonherkenning | pattern recognition | computerwetenschappen | computer sciences | kunstmatige intelligentie | artificial intelligence | taal | language | taalwetenschappen | linguistics | datamining | data mining | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Algorithmic learning theory.DDC classification: 006.31 LOC classification: QA76.9.A43 | A48 2009Other classification: 54.72 | SS 4800 | DAT 708f Online resources: Click here to access online
|Item type||Current location||Collection||Call number||Status||Date due||Barcode||Item holds|
Includes bibliographical references and index.
Print version record.
Online learning -- Learning graphs -- Active learning and query learning -- Statistical learning -- Inductive inference -- Semi-supervised and unsupervised learning.
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the 12th International Conference on Discovery Science, DS 2009. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 60 submissions. The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning. The volume also contains abstracts of the invited talks: Sanjoy Dasgupta, The Two Faces of Active Learning; Hector Geffner, Inference and Learning in Planning; Jiawei Han, Mining Heterogeneous; Information Networks By Exploring the Power of Links, Yishay Mansour, Learning and Domain Adaptation; Fernando C.N. Pereira, Learning on the Web.