Ditapis dengan
Learning to understand remote sensing images
With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the rem…
- Edisi
- -
- ISBN/ISSN
- 9783038976851
- Deskripsi Fisik
- IX, 416 p.
- Judul Seri
- -
- No. Panggil
- 005.133 WAN l
On the path to AI :law's prophecies and the conceptual foundations of the mac…
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of …
- Edisi
- -
- ISBN/ISSN
- 9783030435820
- Deskripsi Fisik
- xxii, 147p. : ill.
- Judul Seri
- -
- No. Panggil
- 006.3 GRA o
Metalearning :applications to automated machine learning and data mining
This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield …
- Edisi
- -
- ISBN/ISSN
- 9783030670245
- Deskripsi Fisik
- xii, 346p. : ill,
- Judul Seri
- -
- No. Panggil
- 006.31 MET m
XxAI - beyond explainable AI :International Workshop, Held in Conjunction wit…
Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and …
- Edisi
- -
- ISBN/ISSN
- 9783031040832
- Deskripsi Fisik
- x; 397 PG; ill.
- Judul Seri
- -
- No. Panggil
- 006.3 XXA x
XxAI - beyond explainable AI :International Workshop, Held in Conjunction wit…
Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and …
- Edisi
- -
- ISBN/ISSN
- 9783031040832
- Deskripsi Fisik
- x; 397 PG; ill.
- Judul Seri
- -
- No. Panggil
- 006.3 XXA x
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