Bayesian Learning for Neural Networks: 118 (Lecture Notes in Statistics, 118) - Image 1

£138.78

Springer Bayesian Learning for Neural Networks: 118 (Lecture Notes in Statistics, 118)

Name: Bayesian Learning for Neural Networks: 118 (Lecture Notes in Statistics, 118)
Brand: Springer
Price: 138.78 GBP
Availability: InStock

AI & Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

£139 today · usual range £0–£0 · best ever £128

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 601 days • 601 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 601 days • 10 price levels

Days at Price

Current Price

Price Analysis

Most common price: £140 (303 days, 50.4%)

Price range: £128 - £140

Price levels: 10 different prices over 601 days

Description

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and software for it is freely available over the Internet. Presupposing only basic knowledge of probability and statistics, this book should be of interest to researchers in statistics, engineering, and artificial intelligence.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 0387947248
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Publication Date: 09 August 1996
Listed Since: 22 January 2007

Barcode

No barcode data available

Springer Bayesian Learning for Neural Networks: 118 (Lecture Notes in Statistics, 118)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Modeling and Reasoning with Bayesian Networks

Bayesian Cognitive Modeling: A Practical Course

Bayesian Methods in Statistics: From Concepts to Practice

Bayesian Data Analysis for the Behavioral and Neural Sciences: Non-Calculus Fundamentals

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis: 22 (Information Science and Statistics, 22)

Bayesian Compendium

Bayesian Modeling and Computation in Python (Chapman & Hall/CRC Texts in Statistical Science)

The Manual of Strategic Economic Decision Making: Using Bayesian Belief Networks to Solve Complex Problems

Bayesian Statistics for Beginners: a step-by-step approach

Bayesian Reasoning and Gaussian Processes for Machine Learning Applications

Bayesian Data Analysis for Animal Scientists: The Basics

Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)

A Student’s Guide to Bayesian Statistics

Bayesian Theory: 316 (Wiley Series in Probability and Statistics)

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis: 22 (Information Science and Statistics, 22)

An Introduction to Bayesian Inference, Methods and Computation

Bayesian Models of Cognition: Reverse Engineering the Mind

Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)

Current Trends in Bayesian Methodology with Applications

An Introduction to Bayesian Inference, Methods and Computation

Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics)

Bayesian Models of Perception and Action: An Introduction

Perception as Bayesian Inference

Elementary Bayesian Biostatistics (Chapman & Hall/CRC Biostatistics Series)