Explanation-Based Neural Network Learning

A Lifelong Learning Approach

By: Sebastian Thrun

Write A Review

Hardcover | 30 April 1996

At a Glance

Hardcover
284 Pages

Dimensions(cm)
24.77 x 16.51 x 2.54

Hardcover

$249.75

or 4 interest-free payments of $62.44 with

Ships in 5 to 7 business days

Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanation-based neural network learning (EBNN) is a machine learning algorithm that transfers knowledge across multiple learning tasks. When faced with a new learning task, EBNN exploits domain knowledge accumulated in previous learning tasks to guide generalization in the new one. As a result, EBNN generalizes more accurately from less data than comparable methods. Explanation-Based Neural Network Learning: A Lifelong Learning Approach describes the basic EBNN paradigm and investigates it in the context of supervised learning, reinforcement learning, robotics, and chess.
`The paradigm of lifelong learning - using earlier learned knowledge to improve subsequent learning - is a promising direction for a new generation of machine learning algorithms. Given the need for more accurate learning methods, it is difficult to imagine a future for machine learning that does not include this paradigm.'
From the Foreword by Tom M. Mitchell.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Mathematical Theory of Computation Artificial Intelligence Neural Networks & Fuzzy Systems Science Physics Machine Learning Natural Language & Machine Translation Fiction Graphic Novels

Other Editions and Formats

Paperback

Published: 17th October 2011

View Product

Foreword
Preface
Introduction	p. 1
Explanation-Based Neural Network Learning	p. 19
The Invariance Approach	p. 49
Reinforcement Learning	p. 93
Empirical Results	p. 131
Discussion	p. 177
A An Algorithm for Approximating Values and Slopes with Artificial Neural Networks	p. 195
B Proofs of the Theorems	p. 203
C Example Chess Games	p. 207
References	p. 227
List of Symbols	p. 253
Index	p. 259
Table of Contents provided by Blackwell. All Rights Reserved.

Explanation-Based Neural Network Learning

A Lifelong Learning Approach

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

More in Natural Language & Machine Translation

AI Systems Performance Engineering

Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch

How To Think About AI A Guide For The Perplexed

A Guide For The Perplexed

Artificial Intelligence All-in-One For Dummies

For Dummies (Computer/Tech)

Introduction to Machine Learning with Python

A Guide for Data Scientists

Hands-On Large Language Models

Language Understanding and Generation

Scaling Responsible AI

From Enthusiasm to Execution

Applied AI for Enterprise Java Development

Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise

Artificial Intelligence for HR

Use AI to Support and Develop a Successful Workforce

Think Python

How To Think Like a Computer Scientist

The Ultimate ChatGPT Prompt Book

750+ Expert Prompts to Boost Productivity, Unlock Creative Potential, and Simplify Tasks

ChatGPT For Dummies

For Dummies (Computer/Tech)

The Scaling Era

An Oral History of AI, 2019-2025

AI Engineering

Building Applications with Foundation Models

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e

Concepts, Tools, and Techniques to Build Intelligent Systems

Natural Language Processing with Transformers, Revised Edition

Learning LangChain

Building AI and LLM Applications with LangChain and LangGraph

Generative AI on Aws

Building Context-Aware Multimodal Reasoning Applications

Federated Learning for Healthcare

Applications with Case Studies

Acting

Keywords and Concepts

Acting

Keywords and Concepts

AI for the Ordinary

A Non-technical Playbook for Citizens, Students, and Managers

Embracing Techno-Humanities in the Age of AI

Perceptive Machines

The Future of Feeling AI and What It Means for Humanity

Advances using AI - The Next Wave

This product is categorised by