Explainable and Interpretable Models in Computer Vision and Machine Learning
Hugo Jair Escalante, et al.
Informasi Umum
Kode
21.21.1395
Klasifikasi
006.3 - Special Computer Methods- Artificial intelligence
Jenis
Buku - Elektronik (E-Book)
Subjek
Artificial Intelligence.
No. Rak
Dilihat
174 kali
Informasi Lainnya
Abstraksi
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.
Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision.
- CII4Q3 - VISI KOMPUTER
- CPI4Q3 - VISI KOMPUTER
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Hugo Jair Escalante, et al. |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Springer |
| Kota | New York |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
