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Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction
This book constitutes the thoroughly refereed post-workshop proceedings of the Second Workshop on Multimodal Analyses Enabling Artificial Agents in Human Interaction, MA3HMI 2014, held in Conjunction with INTERSPEECH 2014, in Singapore, Singapore, on September 14th, 2014. The 9 revised papers presented together with a keynote talk were carefully reviewed and selected from numerous submission…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-15556-2
- Collation
- XII, 109
- Series Title
- Lecture Notes in Computer Science
- Call Number
- -
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-24553-9
- Collation
- XLVII, 740
- Series Title
- Lecture Notes in Computer Science
- Call Number
- -
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 1…
The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers…
- Edition
- 1
- ISBN/ISSN
- 1611-3349
- Collation
- XXVII, 780
- Series Title
- Lecture Notes in Computer Science
- Call Number
- -
Elements of Causal Inference
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining th…
- Edition
- -
- ISBN/ISSN
- 9780262037310
- Collation
- -
- Series Title
- -
- Call Number
- -
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