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Learning From Violent Extremist Attacks: Behavioural Sciences Insights For Practitioners And Policymakers
How can we use psychology and the behavioural sciences to aid law enforcement to better identify violent extremists? What can we learn from past attacks to ensure that our society is more prepared? How can societies deal with tension after these attacks?Violent extremists are evolving, constantly honing their strategies to out-manuever the 'good guys'. Faced with the quandary, challenges, and responsibilities of ensuring the safety of the society, practitioners and policymakers have to take decisive steps to respond and mitigate the impact of an attack. However, the daunting task of countering violent extremism is still plagued by the lack of basic understanding of the phenomenon.This book, ...
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
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Interpersonal Psychotherapy
The book compiles the results of several research studies on this subject. It discusses important developments in interpersonal psychotherapy research and its translation into clinical practice. It describes typical phases of treatments and highlights applications for patient populations, which have seen results from interpersonal psychotherapy.
The Illio
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Metric Learning
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data....
