Learning to Learn Book

Name: Learning to Learn, Over the past three decades or so, research on
Brand: Steidl Publishing
SKU: 9781461375272
Price: 181.07 USD
Availability: InStock
Rating: 4 (1 reviews)

Learning to Learn, Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from acad, Learning to Learn

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Learning to Learn
Written by author Sebastian Thrun
Published by Springer-Verlag New York, LLC, 10/28/2012
Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from acad

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Preface

1 Learning To Learn: Introduction and Overview 3

2 A Survey of Connectionist Network Reuse Through Transfer 19

3 Transfer in Cognition 45

4 Theoretical Models in Learning to Learn 71

5 Multitask Learning 95

6 Making a Low-Dimensional Representation Suitable for Diverse Tasks 135

7 The Canonical Distortion Measure for Vector Quantization and Function Approximation 159

8 Lifelong Learning Algorithms 181

9 The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness 213

10 Clustering Learning Tasks and the Selective Cross-Task Transfer of Knowledge 235

11 CHILD: A First Step Towards Continual Learning 261

12 Reinforcement Learning With Self-Modifying Policies 293

13 Creating Advice-Taking Reinforcement Learners 311

Contributing Authors 349

Index 353

Title: Learning to Learn

Manufacturer:

Steidl Publishing

Item Number: 9781461375272

Number: 1

Product Description: Learning to Learn

Universal Product Code (UPC): 9781461375272

WonderClub Stock Keeping Unit (WSKU): 9781461375272

Rating: 4/5 based on 1 Reviews

Image Location: https://wonderclub.com/images/covers/52/72/9781461375272.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 6.140 cm (2.42 inches)

Heigh : 9.210 cm (3.63 inches)

Depth: 0.760 cm (0.30 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

Price	Condition	Delivery	Seller	Action
$181.07	Digital	Arrives between May 4 - Jun 3 Login to your account for a direct download. Some files are emailed from Dropbox. Continent $0.00 - World $0.00	WonderClub (9296 total ratings)

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Learning to Learn, Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from acad, Learning to Learn

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	Preface
1	Learning To Learn: Introduction and Overview	3
2	A Survey of Connectionist Network Reuse Through Transfer	19
3	Transfer in Cognition	45
4	Theoretical Models in Learning to Learn	71
5	Multitask Learning	95
6	Making a Low-Dimensional Representation Suitable for Diverse Tasks	135
7	The Canonical Distortion Measure for Vector Quantization and Function Approximation	159
8	Lifelong Learning Algorithms	181
9	The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness	213
10	Clustering Learning Tasks and the Selective Cross-Task Transfer of Knowledge	235
11	CHILD: A First Step Towards Continual Learning	261
12	Reinforcement Learning With Self-Modifying Policies	293
13	Creating Advice-Taking Reinforcement Learners	311
	Contributing Authors	349
	Index	353