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Computational Modeling of Neural Activities for Statistical Inference
This authored monograph supplies empirical evidence for the Bayesian brain hypothesis by modeling event-related potentials (ERP) of the human electroencephalogram (EEG) during successive trials in cognitive tasks. The employed observer models are useful to compute probability distributions over observable events and hidden states, depending on which are present in the respective tasks. Bayesian model selection is then used to choose the model which best explains the ERP amplitude fluctuations. Thus, this book constitutes a decisive step towards a better understanding of the neural coding and computing of probabilities following Bayesian rules. The target audience primarily comprises research experts in the field of computational neurosciences, but the book may also be beneficial for graduate students who want to specialize in this field.
Epica Book 29
Beautifully illustrated with over 1000 colour images, the 29th edition of the Epica Book showcases more than 850 creative projects honoured in the 2015 Epica Awards - including fascinating background stories on all the latest Epica d'Or winners. Featuring work from communication agencies, film production companies, media consultancies, photographers and design studios, the Epica Book is a unique source of information and inspiration for all those interested in contemporary worldwide advertising trends.
Haring
Profiles the life and work of twentieth-century artist Keith Haring, with color reproductions of his work and an overview of the people, places, and events that shaped his methods.
Antonio Bröijer: Historiallis-romantillinen kertomus vuodelta 1599
"Antonio Bröijer: Historiallis-romantillinen kertomus vuodelta 1599" – Johan Wilhelm Ronimus. Julkaisija - Good Press. Good Press on moneen tyylilajiin keskittynyt laajamittainen julkaisija. Pyrimme julkaisemaan klassikoita ja kaunokirjallisuutta sekä vielä löytämättömiä timantteja. Tuotamme kirjat jotka palavat halusta tulla luetuksi. Good Press painokset ovat tarkasti editoitu ja formatoitu vastaamaan nykyajan lukijan tarpeita ottaen huomioon kaikki e-lukijat ja laitteet. Tavoitteemme on luoda lukijaystävällisiä e-kirjoja, saatavilla laadukkaassa digitaalisessa muodossa.
Computer Vision
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.
Experimental IR Meets Multilinguality, Multimodality, and Interaction
This book constitutes the refereed proceedings of the 12th International Conference of the CLEF Association, CLEF 2021, held virtually in September 2021. The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. The 11 full papers presented in this volume were carefully reviewed and selected from 21 submissions. This year, the contributions addressed the following challenges: application of neural methods for entity recognition as well as misinformation detection in the health area, skills extraction in job-match databases, stock market prediction using financial news, and extraction of audio features for podcast retrieval. In addition to this, the volume presents 5 “best of the labs” papers which were reviewed as full paper submissions with the same review criteria. 12 lab overview papers were accepted and represent scientific challenges based on new data sets and real world problems in multimodal and multilingual information access.
Machine Learning, Optimization, and Data Science
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Toxicology for the Health and Pharmaceutical Sciences
There is an increasing need for knowledge of toxicology to safeguard the use of chemicals in industry and in the public and private sectors. The study of toxicology is becoming increasingly relevant in human health sciences, as future health and clinical professionals will be pivotal in addressing and managing emerging chemical threats and hazards related to modern anthropogenic activities and technological development. Comprising a series of chapters from leading toxicology, pharmacy and public health academics and experts across Europe, the United States and beyond, Toxicology for the Health and Pharmaceutical Sciences provides a concise yet comprehensive volume that can be used as a relev...
