Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Knowledge Guided Machine Learning: Accelerating Discovery Using Scientific Knowledge and Data

Knowledge Guided Machine Learning: Accelerating Discovery Using Scientific Knowledge and Data

Karpatne, Anuj
Kannan, Ramakrishnan
Kumar, Vipin

Hardcover

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Business GeneralGeneral ComputersProgramming

ISBN10: 0367693410
ISBN13: 9780367693411
Publisher: CRC Press
Published: Aug 15 2022
Pages: 430
Weight: 2.16
Height: 1.00 Width: 7.00 Depth: 10.00
Language: English

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these black-box ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing data-only or scientific knowledge-only methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field.

1 different editions

Also available

Also from

Karpatne, Anuj

View All

Also in

Business General

View All