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In many applications one is faced with the problem of inferring some functional relation between input and output variables from given data. Consider, for instance, the task of email spam filtering where one seeks to find a model which automatically assigns new, previously unseen emails to class spam or non-spam. Building such a predictive model based on observed training inputs (e.g., emails) with corresponding outputs (e.g., spam labels) is a major goal of machine learning. Many learning methods assume that these training data are governed by the same distribution as the test data which the predictive model will be exposed to at application time. That assumption is violated when the test d...
This book constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM 2006. The book presents 32 revised full papers and 44 revised poster papers together with 5 invited papers. Topical sections include image filtering, restoration and segmentation, shape analysis and representation, recognition, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, and more.
This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.
This book provides a snapshot of the current state-of-the-art in the fields of mobile and wireless technology, security and applications. The proceedings of the 2nd International Conference on Mobile and Wireless Technology (ICMWT2015), it represents the outcome of a unique platform for researchers and practitioners from academia and industry to share cutting-edge developments in the field of mobile and wireless science technology, including those working on data management and mobile security. The contributions presented here describe the latest academic and industrial research from the international mobile and wireless community. The scope covers four major topical areas: mobile and wireless networks and applications; security in mobile and wireless technology; mobile data management and applications; and mobile software. The book will be a valuable reference for current researchers in academia and industry, and a useful resource for graduate-level students working on mobile and wireless technology.
This book constitutes the proceedings of the 18th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2021, held in October 2021. Due to COVId-19 pandemic the conference was held virtually. The 25 full papers and 9 short papers presented were carefully reviewed and selected from 69 submissions. The achievement, progress and future challenges are reported in areas such as health care, industrial design, banking IT systems, cultural activities support, operational maritime cybersecurity assurance, emotion communication, and social network data analytics.
The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.
Since the 1997 publication of the first Harry Potter novel, the "Potterverse" has seen the addition of eight feature films (with a ninth in production), the creation of the interactive Pottermore© website, the release of myriad video games, the construction of the Wizarding World of Harry Potter at Universal Studios, several companion books (such as Fantastic Beasts and Where to Find Them), critical essays and analyses, and the 2016 debut of the original stage play Harry Potter and the Cursed Child. This collection of new essays interprets the Wizarding World beyond the books and films through the lens of convergence culture. Contributors explore how online communities tackle Sorting and games like the Quidditch Cup and the Triwizard Tournament, and analyze how Fantastic Beasts and Harry Potter and the Cursed Child are changing fandom and the canon alike.
A 195-page monograph by a top-1% Netflix Prize contestant. Learn about the famous machine learning competition. Improve your machine learning skills. Learn how to build recommender systems. What's inside:introduction to predictive modeling,a comprehensive summary of the Netflix Prize, the most known machine learning competition, with a $1M prize,detailed description of a top-50 Netflix Prize solution predicting movie ratings,summary of the most important methods published - RMSE's from different papers listed and grouped in one place,detailed analysis of matrix factorizations / regularized SVD,how to interpret the factorization results - new, most informative movie genres,how to adapt the algorithms developed for the Netflix Prize to calculate good quality personalized recommendations,dealing with the cold-start: simple content-based augmentation,description of two rating-based recommender systems,commentary on everything: novel and unique insights, know-how from over 9 years of practicing and analysing predictive modeling.
This monograph presents the current views, challenges and future needs of educators from a global online exchange where educators and researchers discuss the 21st century skills needed by students and teachers. The three editors, who participated in the global online research discussion group, also assumed the role of authors to summarise, analyse and celebrate the myriad of ideas generated in a topic thread that had well over a thousand responses from 26 countries. Through Comparative Analysis they then compared the posters’ ideas to some current big thinkers in education. This text promotes teachers’ voices from diverse disciplines and sectors who are united in their desire for purposeful and radical change in how teaching is carried out and what is taught. The text advocates shifting power away from government control and standardisation towards empowering teachers to guide and further develop the unique talents of diverse individuals.