A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence
Boult, Terrance, Scheirer, Walter
相關主題
商品描述
This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.
商品描述(中文翻譯)
這本書提出了第一個統一的形式化方法，用於定義機器學習、符號推理、控制和規劃系統中的新奇性。處理新奇性，即系統之前未見過的事物，對於建立視覺系統和智能系統至關重要。本書通過在多個領域中使用這個框架來定義和評估，包括圖像識別、基於圖像的開放世界學習、手寫和作者分析、CartPole控制、圖像標題生成和大富翁遊戲。各章節由這個新興領域的知名貢獻者撰寫。此外，還提供了來自多個領域的示例，如基於機器學習的控制問題、符號推理和多人遊戲。
作者簡介
Terrance E. Boult, Ph.D., is a Distinguished Professor and El Pomar Endowed Professor of Innovation and Security in the Department of Computer Science at the University of Colorado at Colorado Springs. He is also an IEEE Fellow and an internationally acknowledged researcher in machine learning, computer vision, biometrics, and cybersecurity with 15 patents issued and 400+ articles. Dr. Boult received the B.S. degree in Applied Mathematics, the M.S. degree in Computer Science, and the Ph.D. degree in Computer Science from Columbia University. He has won multiple teaching awards, research/innovation awards, best paper awards, best reviewer awards, and IEEE service awards. Walter Scheirer, Ph.D., is Dennis O. Doughty Collegiate Associate Professor in the Department of Computer Science and Engineering at the University of Notre Dame. Previously, he was a postdoctoral fellow at Harvard University with affiliations in the School of Engineering and Applied Sciences, Department of Molecular and Cellular Biology, and Center for Brain Science. Dr. Scheirer received his Ph.D. from the University of Colorado and his M.S. and B.A. degrees from Lehigh University. He has extensive experience in the areas of computer vision, machine learning, and image processing. His current research is focused on media forensics and studying disinformation circulating on social media.
作者簡介(中文翻譯)
Terrance E. Boult博士是科羅拉多大學科羅拉多斯普林斯分校計算機科學系的傑出教授和El Pomar創新與安全教授。他也是IEEE院士，是機器學習、計算機視覺、生物識別和網絡安全方面的國際知名研究者，擁有15項專利和400多篇文章。Boult博士在哥倫比亞大學獲得應用數學學士學位、計算機科學碩士學位和計算機科學博士學位。他曾獲得多個教學獎、研究/創新獎、最佳論文獎、最佳評審獎和IEEE服務獎。
Walter Scheirer博士是聖母大學計算機科學與工程系的Dennis O. Doughty大學副教授。此前，他在哈佛大學擔任博士後研究員，並與工程與應用科學學院、分子與細胞生物學系以及腦科學中心有聯繫。Scheirer博士在科羅拉多大學獲得博士學位，並在利哈伊大學獲得碩士和學士學位。他在計算機視覺、機器學習和圖像處理領域擁有豐富的經驗。他目前的研究重點是媒體取證和研究社交媒體上流傳的虛假信息。
