Showing results for "sangwon lee"
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2023
EN
Raise Your Sons and Daughters with Real Unconditional LoveBy: John Sangwon Lee, MD., FAAPPediatrician John Sangwon Lee, MD., FAAP, has years of experience with parenting methods and children’s health in both America and in South Korea. With these combined experiences, and his own as a father, Dr. Lee puts forth Raise Your Sons and Daughters with Real Unconditional Love, a guide to raising children with kindness, empathy, and love. He describes in detail the types of love ne...
Human-Centered Artificial Intelligence
Research and Applications
2022
EN
Accessible
Human-Centered Artificial Intelligence: Research and Applications presents current theories, fundamentals, techniques and diverse applications of human-centered AI. Sections address the question, "are AI models explainable, interpretable and understandable?, introduce readers to the design and development process, including mind perception and human interfaces, explore various applications of human-centered AI, including human-robot interaction, healthcare and decision-making, and more. As...
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The Mind-Body Connection
2001
EN
This New York Times bestseller reveals groundbreaking research on back pain and TMS (Tension Myoneural Syndrome)—and how you can become pain free without drugs, exercise, or surgery.Dr. John E. Sarno's 's program has helped thousands of patients find relief from chronic back conditions. Dr. Sarno teaches you how to identify stress and othe...
All Is Well
Heal Your Body with Medicines, Affirmations, and Intuition
2013
EN
"Whenever there is a problem, repeat over and over: All is well. Everything is working out for my highest good. Out of this situation only good will come. I am safe."In this healing tour de force, best-selling authors Louise L. Hay and Dr. Mona Lisa Schulz have teamed up for an exciting reexamination of the quintessential teachings from Heal Your Body. All Is Well brings together Louise’s proven affirmation system with Mona Lisa’s knowledge of both medical science...
Artificial Intelligence and Software Testing
Building systems you can trust
2022
EN
WINNER: Independent Press Awards 2023 - Category: TechnologyAI presents a new paradigm in software development, representing the biggest change to how we think about quality and testing in decades. Many of the well known issues around AI, such as bias, manifest themselves as quality management problems. This book, aimed at testing and quality management practitioners who want to understand more, covers trustworthiness of AI and the complexities of testing ...
To Be or Not to Be... Pain-Free
The Mindbody Syndrome
2003
EN
Much of the chronic and recurrent pain and discomfort that we all experience is psychologically induced. This psychologically induced pain is called TMS, or The Mindbody Syndrome. TMS most commonly affects the back, neck, and legs, but can affect any part of the body or organ system. Some common TMS disorders include headaches, irritable bowel syndrome, dyspepsia, gastroesophageal reflux disorder, carpal tunnel syndrome, plantar fasciitis, temporomandibular joint syndrome ...
Artificial Intelligence and Cognitive Science
30th Irish Conference, AICS 2022, Munster, Ireland, December 8–9, 2022, Revised Selected Papers
2023
EN
This open access book constitutes selected papers presented during the 30th Irish Conference on Artificial Intelligence and Cognitive Science, held in Munster, Ireland, in December 2022.The 41 presented papers were thoroughly reviewed and selected from the 102 submissions. They are organized in topical sections on machine learning, deep learning and applications; responsible and trustworthy artificial intelligence; natural language processing and recommender systems; knowledge repr...
Socially Responsible AI
Theories and Practices
2023
EN
In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risks for oppression and calamity. In response, researchers and organizations have been working to publish principles and develop AI regulations for the responsible use of AI in consequential application domains. However, these theoretically formulated princi...
2023
EN
Accessible
Advancing Natural Language Processing in Educational Assessment examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-i...
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- Exam Cram
2009
EN
CNACertified Nursing Assistant Exam CramLinda WhitentonMarty WalkerSucceed with topical reviews, practice exams, and preparation tools· Covers exactly what you need to know to score higher on your CNA exam· More than 150 sample test questions help you gain confidence and decide when you’re ready to take the actual exam· Simplifies key nursing assistant concepts and techniques for easy learning· Includes popular Cram Sheet tear...
2022
EN
This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other are...
Human and Machine Learning
Visible, Explainable, Trustworthy and Transparent
- Series -
- Computer Science (R0)
2018
EN
With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, t...











