Algorithmic Learning Theory (Paperback)

Marcus Hutter

6 valutazioni di Goodreads

Lingua: inglese

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010

3642161073 / 9783642161070

Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

Venditore con 5 stelle

Venditore AbeBooks dal 12 ottobre 2005

Brossura

Condizione: Nuovo

EUR 70,11

 Spedizione gratuita 
Spedito in U.S.A.

Quantità: 1 disponibile

Aggiungi al carrello
Resi gratuiti per 30 giorni

Descrizione dell’articolo da parte del venditore

Paperback. This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Learning Theory (ALT 2010), which was held in Canberra, Australia, October 68, 2010. The conference was co-located with the 13th - ternational Conference on Discovery Science (DS 2010) and with the Machine Learning Summer School, which was held just before ALT 2010. The tech- cal program of ALT 2010, contained 26 papers selected from 44 submissions and ?ve invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2010 was dedicated to the theoretical foundations of machine learning and took place on the campus of the Australian National University, Canberra, Australia. ALT provides a forum for high-quality talks with a strong theore- cal background and scienti?c interchange in areas such as inductive inference, universal prediction, teaching models, grammatical inference, formal languages, inductive logic programming, query learning, complexity of learning, on-line learning and relative loss bounds, semi-supervised and unsupervised learning, clustering,activelearning,statisticallearning,supportvectormachines,Vapnik- Chervonenkisdimension,probablyapproximatelycorrectlearning,Bayesianand causal networks, boosting and bagging, information-based methods, minimum descriptionlength,Kolmogorovcomplexity,kernels,graphlearning,decisiontree methods, Markov decision processes, reinforcement learning, and real-world - plications of algorithmic learning theory. DS 2010 was the 13th International Conference on Discovery Science and focused on the development and analysis of methods for intelligent data an- ysis, knowledge discovery and machine learning, as well as their application to scienti?c knowledge discovery. As is the tradition, it wasco-located and held in parallel with Algorithmic Learning Theory. Constitutes the refereed proceedings of the 21th International Conference on Algorithmic Learning Theory, ALT 2010, that was held in Canberra, Australia. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Codice articolo 9783642161070

Titolo
Algorithmic Learning Theory (Paperback)
Autore
Marcus Hutter
Editore
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
Anno di pubblicazione
2010
Condizione
new
Rilegatura
Paperback
Lingua
inglese
ISBN 10
3642161073
ISBN 13
9783642161070

Grand Eagle Retail

Bensenville, IL, U.S.A.

Venditore con 5 stelle

Venditore AbeBooks dal 12 ottobre 2005

Tariffe di spedizione nazionale per U.S.A.

ArticoloDa 6 a 14 giorni lavorativiDa 6 a 16 giorni lavorativi
Primo articoloEUR 0,00EUR 0,00
I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.

Metodi di pagamento

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Informazioni sull’azienda del venditore

APOLLO ONLINE CORP.

605 Geddes Street
Wilmington, DE U.S.A. 19805