This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After…
This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and…
With passion and conviction, Johnson maintains that our response to our environment shapes our culture, determines our lifestyle, defines our identity, and sets the tone for our relationships and economies. With photos, she documents the landscape and contrasts the ecological relationships with land of First Nations peoples to those of non-indigenous scientists. The result is an absorbing study…
Development of strategies to assist the movement of poorly permeable molecules across biological barriers has long been the goal of drug delivery science. In the last three decades, there has been an exponential increase in advanced drug delivery systems that aim to address this issue. However, most proprietary delivery technologies that have progressed to clinical development are based on perm…
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radi…
Based on the experience of two Italian referral centers, the book depicts the characteristic findings obtained when using MR imaging to study the male and female pelvis including the obstetric applications. Each chapter provides a comprehensive account of the use of the imaging technique of examination, including the most recent advances in MR imaging, the anatomy and MR possibilities in the id…
This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summa…
This volume presents some of the research topics discussed at the 2014-2015 Annual Thematic Program Discrete Structures: Analysis and Applications at the Institute for Mathematics and its Applications during Fall 2014, when combinatorics was the focus. Leading experts have written surveys of research problems, making state of the art results more conveniently and widely available. The three-pa…
This book mostly results from a selection of papers presented during the 11th IFAC (International Federation of Automatic Control) Workshop on Time-Delay Systems, which took place in Grenoble, France, February 4 - 6, 2013. During this event, 37 papers were presented. Taking into account the reviewers' evaluation and the papers' presentation the best papers have been selected and collected into…
In 1906, Nello Vernon-Wood (1882–1978) reinvented himself as Tex Wood, Banff hunting guide and writer of “yarns of the wilderness by a competent outdoorsman.” His homespun stories of a vanishing era, in such periodicals as The Sportsman, Hunting and Fishing, and the Canadian Alpine Journal, have much to tell us about the west as envisioned by those who wanted to leave the industrialized w…