A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence
暫譯: 新穎性正式理論的統一框架：人工智慧的討論、指導方針與範例
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)
本書首次統一地形式化定義了在機器學習、符號推理以及基於控制和規劃的系統中所謂的新穎性。處理新穎性，即系統之前未曾見過的事物，對於構建視覺系統和一般智能系統來說是一個關鍵問題。本書展示了如何使用這一框架在多個領域中定義和評估新穎性，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、圖像標題生成以及大富翁遊戲。各章節由這一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範例，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 Schoolof 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泉分校計算機科學系的傑出教授及 El Pomar 創新與安全教授。他同時也是 IEEE Fellow，並且在機器學習、計算機視覺、生物識別技術和網絡安全領域享有國際聲譽的研究者，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及計算機科學博士學位。他曾獲得多項教學獎、研究/創新獎、最佳論文獎、最佳審稿人獎及 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，他曾在哈佛大學擔任博士後研究員，並在工程與應用科學學院、分子與細胞生物學系及腦科學中心有相關聯繫。Scheirer 博士在科羅拉多大學獲得博士學位，並在萊海大學獲得碩士和學士學位。他在計算機視覺、機器學習和影像處理領域擁有豐富的經驗。目前他的研究重點是媒體取證及研究在社交媒體上流傳的虛假信息。
