269,00 €
+ 7,49 € Spedizione

Machine Learning

  • Marchio: Unbranded
Venduto da:

Machine Learning

  • Marchio: Unbranded

269,00 €

Disponibile
+ 7,49 € Spedizione

Politica di reso a 14 giorni

Venduto da:

269,00 €

Disponibile
+ 7,49 € Spedizione

Politica di reso a 14 giorni

Metodi di pagamento:

Descrizione

Machine Learning

Judge: A Case-Based Reasoning System. - Changing Language While Learning Recursive Descriptions from Examples. - Learning by Disjunctive Spanning. - Transfer of Knowledge between Teaching and Learning Systems. - Some Approaches to Knowledge Acquisition. - Analogical Learning with Multiple Models. - The World Modelers Project: Objectives and Simulator Architecture. - The Acquisition of Procedural Knowledge through Inductive Learning. - Learning Static Evaluation Functions by Linear Regression. - Plan Invention and Plan Transformation. - A Brief Overview of Explanatory Schema Acquisition. - The EG Project: Recent Progress. - Learning Causal Relations. - Functional Properties and Concept Formation. - Explanation-Based Learning in Logic Circuit Design. - A Proposed Method of Conceptual Clustering for Structured and Decomposable Objects. - Exploiting Functional Vocabularies to Learn Structural Descriptions. - Combining Numeric and Symbolic Learning Techniques. - Learning by Understanding Analogies. - Analogical Reasoning in the Context of Acquiring Problem Solving Expertise. - Planning and Learning in a Design Domain: The Problems Plan Interactions. - Inference of Incorrect Operators. - A Conceptual Framework for Concept Identification. - Neural Modeling as One Approach to Machine Learning. - Steps Toward Building a Dynamic Memory. - Learning by Composition. - Knowledge Acquisition: Investigations and General Principles. - Purpose-Directed Analogy: A Summary of Current Research. - Development of a Framework for Contextual Concept Learning. - On Safely Ignoring Hypotheses. - A Model of Acquiring Problem Solving Expertise. - Another Learning Problem: Symbolic Process Prediction. - Learning at LRI Orsay. - Coper: A Methodology for Learning Invariant Functional Descriptions. - Using Experience as a Guide for Problem Solving. - Heuristics as Invariants and its Application to Learning. - Components of Learning in a Reactive Environment. - The Development of Structures through Interaction. - Complex Learning Environments: Hierarchies and the use of Explanation. - Prediction and Control in an Active Environment. - Better Information Retrieval through Linguistic Sophistication. - Machine Learning Research in the Artificial Intelligence Laboratory at Illinois. - Overview of the Prodigy Learning Apprentice. - A Learning Apprentice System for VLSI Design. - Generalizing Explanations of Narratives into Schemata. - Why Are Design Derivations Hard to Replay?. - An Architecture for Experiential Learning. - Knowledge Extraction through Learning from Examples. - Learning Concepts with a Prototype-Based Model for Concept Representation. - Recent Progress on the Mathematician's Apprentice Project. - Acquiring Domain Knowledge from Fragments of Advice. - Calm: Contestation for Argumentative Learning Machine. - Directed Experimentation for Theory Revision and Conceptual Knowledge Acquisition. - Goal-Free Learning by Analogy. - A Scientific Approach to Practical Induction. - Exploring Shifts of Representation. - Current Research on Learning in Soar. - Learning Concepts in a Complex Robot World. - Learning Evaluation Functions. - Learning from Data with Errors. - Explanation-Based Manipulator Learning. - Learning Classical Physics. - Views and Causality in Discovery: Modelling Human Induction. - Learning Control Information. - An Investigation of the Nature of Mathematical Discovery. - Learning How to Reach a Goal: A Strategy for the Multiple Classes Classification Problem. - Conceptual Clustering Of Structured Objects. - Learning in Intractable Domains. - On Compiling Explainable Models of a Design Domain. - What Can BeLearned?. - Learning Heuristic Rules from Deep Reasoning. - Learning a Domain Theory by Completing Explanations. - Learning Implementation Rules with Operating-Conditions Depending on Internal Structures in VLSI Design. - Overview of the Odysseus Learning Apprentice. - Learning from Exceptions in Databases. - Learning Apprentice Systems Research at Schlumberger. - Language Acquisition: Learning Phrases in Context. - References. Language: English
  • Marchio: Unbranded
  • Categoria: Computer e internet
  • Casa editrice/Casa discografica: Humana
  • Lingua: English
  • Data di pubblicazione: 2011/10/14
  • Formato: Paperback
  • ID Fruugo: 337895567-741554877
  • ISBN: 9781461294061

Consegna

Spedito entro 4 giorni

  • STANDARD: 7,49 € - Consegna tra ven 24 luglio 2026–mer 29 luglio 2026

Spedizione da Regno Unito.

Resi e cancellazioni

Resi

Facciamo del nostro meglio per assicurare che i prodotti che ordini vengano consegnati integralmente e secondo le tue indicazioni. Tuttavia, nel caso dovessi ricevere un ordine incompleto, oppure articoli differenti rispetto a quelli che hai ordinato, o se c'è qualche altro motivo per il quale non sei soddisfatto dell'ordine, puoi effettuare il reso dell'ordine, o qualsiasi prodotto incluso nell'ordine e ricevere un rimborso completo per gli articoli.

Visualizza la politica di reso completa

Cancellazioni

Hai il diritto di recedere dal tuo acquisto entro 14 giorni dal ricevimento dell'ordine senza dover fornire alcuna motivazione. Per esercitare facilmente il tuo diritto, puoi utilizzare il link "Annulla il mio ordine" nel piè di pagina di ogni pagina o all'interno del tuo account Fruugo alla voce "Ordini". Una volta esercitato il diritto di recesso, ti invieremo un'e-mail di conferma. Se il tuo ordine è già stato spedito dal venditore, ti forniremo le istruzioni necessarie per il reso al fine di garantire che il rimborso venga elaborato tempestivamente.

Visualizza la politica di cancellazione completa