Zobrazeno 1 - 7
of 7
pro vyhledávání: '"94(9)"'
Autor:
Tsutomu Sasao
This book introduces a novel perspective on machine learning, offering distinct advantages over neural network-based techniques. This approach boasts a reduced hardware requirement, lower power consumption, and enhanced interpretability. The applicat
Autor:
Olalekan Samuel Ogunleye
We live in an era defined by an avalanche of data, and the challenge lies not merely in its accumulation, but in gleaning meaningful insights from this digital deluge. This monumental task is particularly significant in the realm of government servic
Autor:
Avi Arampatzis, Evangelos Kanoulas, Theodora Tsikrika, Stefanos Vrochidis, Anastasia Giachanou, Dan Li, Mohammad Aliannejadi, Michalis Vlachos, Guglielmo Faggioli, Nicola Ferro
This volume LNCS 14163 constitutes the refereed proceedings of 14th International Conference of the CLEF Association, CLEF 2023, in Thessaloniki, Greece, during September 18–21, 2023. The 10 full papers and one short paper included in this book wer
Autor:
Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Fabrizio Sebastiani, Craig Macdonald, Gabriella Pasi, Allan Hanbury, Martin Potthast, Guglielmo Faggioli, Nicola Ferro
This book constitutes the refereed proceedings of the 13th International Conference of the CLEF Association, CLEF 2022, held in Bologna, Italy in September 2022.The conference has a clear focus on experimental information retrieval with special atten
Autor:
Akka Zemmari, Jenny Benois-Pineau
This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supe
Autor:
藤野巖
本当にPythonでデータマイニングと機械学習を行いたい人のための入門書 本書は,本当にPythonでデータマイニングと機械学習を行いたい人のための入門書です. 初歩からていねいに解説
Autor:
Oded Z Maimon, Lior Rokach
Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues