Hurtig levering
Fremragende Trustpilot
Op til 20% Rabat på nye medlemsordrer
Kurv
Grammar-Based Feature Generation for Time-Series Prediction
SPAR
kr 99
Grammar-Based Feature Generation for Time-Series Prediction
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself. Industrial applications can use the proposed technique to improve their predictions.
Eksklusiv medlemspris 407 kr
Medlemspris 417 kr
Eksklusiv medlemspris og medlemspris er kun for medlemmer. Du bliver automatisk medlem når du køber til eksklusiv medlemspris eller medlemspris. Få 7 dages gratis medlemskab (herefter automatisk 89 kr/30 dage). Læs mere om fordelene
Gratis fragt
23 - 25 hverdage
10 kr
Lavt pakkegebyr
Normalpris 506 kr
Fragt: 59 kr
23 - 25 hverdage
20 kr
Pakkegebyr
Spar 99 kr
Se vores konkurrenters priser her
God 15.847 anmeldelser på
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself. Industrial applications can use the proposed technique to improve their predictions.
Produktdetaljer
Sprog: Engelsk
Sider: 99
ISBN-13: 9789812874108
Indbinding: Paperback
Udgave:
ISBN-10: 9812874100
Kategori: Machine learning
Udg. Dato: 17 mar 2015
Længde: 0mm
Bredde: 235mm
Højde: 155mm
Oplagsdato: 17 mar 2015
Forfatter(e) Anthony Mihirana De Silva, Philip H. W. Leong


Kategori Machine learning


Sprog Engelsk


Indbinding Paperback


Sider 99


Udgave


Længde 0mm


Bredde 235mm


Højde 155mm


Udg. Dato 17 mar 2015


Oplagsdato 17 mar 2015

MEDLEMSFORDELE
GRATIS FRAGT
SPAR OP TIL 90%
Andre har også købt
BOG (HÆFTET)
Eksklusiv medlemspris kr 189

kr 280
Normalpris
kr 198
Medlemspris
SPAR
kr 91
BOG (INDBUNDET)
Eksklusiv medlemspris kr 208

kr 299
Normalpris
kr 217
Medlemspris
SPAR
kr 91
BOG (INDBUNDET)
Eksklusiv medlemspris kr 380

kr 499
Normalpris
kr 392
Medlemspris
SPAR
kr 119
BOG (INDBUNDET)
Eksklusiv medlemspris kr 203

kr 300
Normalpris
kr 213
Medlemspris
SPAR
kr 97
BOG (INDBUNDET)
Eksklusiv medlemspris kr 329

kr 499
Normalpris
kr 346
Medlemspris
SPAR
kr 170
BOG (INDBUNDET)
Eksklusiv medlemspris kr 262

kr 349
Normalpris
kr 271
Medlemspris
SPAR
kr 87
BOG (INDBUNDET)
Eksklusiv medlemspris kr 183

kr 270
Normalpris
kr 192
Medlemspris
SPAR
kr 87
BOG (INDBUNDET)
Eksklusiv medlemspris kr 919

kr 1.499
Normalpris
kr 977
Medlemspris
SPAR
kr 580
BOG (INDBUNDET)
Eksklusiv medlemspris kr 220

kr 320
Normalpris
kr 230
Medlemspris
SPAR
kr 100
BOG (HÆFTET)
Eksklusiv medlemspris kr 27

kr 227
Normalpris
kr 47
Medlemspris
SPAR
kr 200
BOG (PAPERBACK)
Eksklusiv medlemspris kr 166

kr 201
Normalpris
kr 170
Medlemspris
SPAR
kr 35
BOG (HÆFTET)
Eksklusiv medlemspris kr 188

kr 269
Normalpris
kr 196
Medlemspris
SPAR
kr 81
BOG (INDBUNDET)
Eksklusiv medlemspris kr 214

kr 320
Normalpris
kr 225
Medlemspris
SPAR
kr 106
BOG (HÆFTET)
Eksklusiv medlemspris kr 297

kr 350
Normalpris
kr 302
Medlemspris
SPAR
kr 53
BOG (HÆFTET)
Eksklusiv medlemspris kr 314

kr 349
Normalpris
kr 318
Medlemspris
SPAR
kr 35
BOG (PAPERBACK)
Eksklusiv medlemspris kr 106

kr 140
Normalpris
kr 109
Medlemspris
SPAR
kr 34
BOG (HÆFTET)
Eksklusiv medlemspris kr 59

kr 129
Normalpris
kr 66
Medlemspris
SPAR
kr 70
BOG (HÆFTET)
Eksklusiv medlemspris kr 207

kr 269
Normalpris
kr 213
Medlemspris
SPAR
kr 62
BOG (HÆFTET)
Eksklusiv medlemspris kr 199

kr 299
Normalpris
kr 209
Medlemspris
SPAR
kr 100
BOG (INDBUNDET)
Eksklusiv medlemspris kr 214

kr 320
Normalpris
kr 225
Medlemspris
SPAR
kr 106
Vi anbefaler også
BOG (PAPERBACK)
Eksklusiv medlemspris kr 485

kr 619
Normalpris
kr 498
Medlemspris
SPAR
kr 134
BOG (HARDBACK)
Eksklusiv medlemspris kr 682

kr 810
Normalpris
kr 695
Medlemspris
SPAR
kr 128
BOG (PAPERBACK)
Eksklusiv medlemspris kr 455

kr 518
Normalpris
kr 461
Medlemspris
SPAR
kr 63
BOG (HARDBACK)
Eksklusiv medlemspris kr 564

kr 732
Normalpris
kr 581
Medlemspris
SPAR
kr 168
BOG (HARDBACK)
Eksklusiv medlemspris kr 779

kr 935
Normalpris
kr 795
Medlemspris
SPAR
kr 156
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (HARDBACK)
Eksklusiv medlemspris kr 376

kr 416
Normalpris
kr 380
Medlemspris
SPAR
kr 40
BOG (HARDBACK)
Eksklusiv medlemspris kr 485

kr 619
Normalpris
kr 498
Medlemspris
SPAR
kr 134
BOG (PAPERBACK)
Eksklusiv medlemspris kr 446

kr 563
Normalpris
kr 458
Medlemspris
SPAR
kr 117
BOG (PAPERBACK)
Eksklusiv medlemspris kr 437

kr 495
Normalpris
kr 443
Medlemspris
SPAR
kr 58
BOG (PAPERBACK)
Eksklusiv medlemspris kr 551

kr 641
Normalpris
kr 560
Medlemspris
SPAR
kr 90
BOG (PAPERBACK)
Eksklusiv medlemspris kr 919

kr 1.239
Normalpris
kr 951
Medlemspris
SPAR
kr 320
BOG (PAPERBACK)
Eksklusiv medlemspris kr 446

kr 506
Normalpris
kr 452
Medlemspris
SPAR
kr 60
BOG (PAPERBACK)
Eksklusiv medlemspris kr 446

kr 506
Normalpris
kr 452
Medlemspris
SPAR
kr 60
BOG (HARDBACK)
Eksklusiv medlemspris kr 726

kr 867
Normalpris
kr 740
Medlemspris
SPAR
kr 141
BOG (PAPERBACK)
Eksklusiv medlemspris kr 595

kr 698
Normalpris
kr 605
Medlemspris
SPAR
kr 103
BOG (HARDBACK)
Eksklusiv medlemspris kr 779

kr 935
Normalpris
kr 795
Medlemspris
SPAR
kr 156
BOG (PAPERBACK)
Eksklusiv medlemspris kr 928

kr 1.126
Normalpris
kr 948
Medlemspris
SPAR
kr 198
BOG (PAPERBACK)
Eksklusiv medlemspris kr 639

kr 754
Normalpris
kr 651
Medlemspris
SPAR
kr 115
BOG (PAPERBACK)
Eksklusiv medlemspris kr 328

kr 393
Normalpris
kr 335
Medlemspris
SPAR
kr 65