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Mathukumalli Vidyasagar - Learning and Generalisation - 9781852333737 - V9781852333737
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Learning and Generalisation

€ 225.55
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Description for Learning and Generalisation Hardback. Provides a formal mathematical theory for addressing intuitive questions such as: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the outcome of a previously unseen input? How much training is required to achieve a specified level of accuracy in the prediction? Series: Communications and Control Engineering. Num Pages: 509 pages, biography. BIC Classification: THR; UYQM; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 28. Weight in Grams: 890.

Learning and Generalization provides a formal mathematical theory addressing intuitive questions of the type:

• How does a machine learn a concept on the basis of examples?

• How can a neural network, after training, correctly predict the outcome of a previously unseen input?

• How much training is required to achieve a given level of accuracy in the prediction?

• How can one identify the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite time?

The second edition covers new areas including:

• support vector machines;

• fat-shattering dimensions and applications to ... Read more

• learning with dependent samples generated by a beta-mixing process;

• connections between system identification and learning theory;

• probabilistic solution of 'intractable problems' in robust control and matrix theory using randomized algorithms.

It also contains solutions to some of the open problems posed in the first edition, while adding new open problems.

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Product Details

Format
Hardback
Publication date
2002
Publisher
Springer London Ltd United Kingdom
Number of pages
509
Condition
New
Series
Communications and Control Engineering
Number of Pages
488
Place of Publication
England, United Kingdom
ISBN
9781852333737
SKU
V9781852333737
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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