A low poly asset pack of characters, props, weapons, vehicles and environment assets to create a Sci-Fi themed polygonal style game. Modular sections are easy to piece together in a variety of combinations. (Includes a demo scene) Key Features - 509 unique assets with x24 alternative texture colors. Vehicles (x9) - Armored Trucks, Classic Car, Garbage Truck, Hover Bike, Retro Car, Sweepo, Future Car, Taxi, Police Car. Characters (x20) -Alien 01, Alien 02, Android Female 01, Augmented Male 01, Cop 01, Cyber Female 01, Cyber Male 01, Cyber Punk Male 01, Cyborg Ninja 01, Garbage Male 01, Hacker Female 01, Hologram Female 01, Junky Male 01, Junky Female 01, Medical Male 01, Monk Male 01, Muscle Male 01, Rich Male 01, Rich Female 01, Robot 01. (with Alternative colors) Weapons (x18) (with various attachments) FX (x17) - Heaps of awesome content included (see the layout screenshots for more details) - Character setup to work with Mecanim (no animations included in this pack)

采用硬件描述语言verilogHDL写timer,采用golden模型（简单的），用modelsim软件仿真，含整个project。

Generalized Linear Mixed Models-book.pdf

这是part2 。使用说明看这里：https://blog.csdn.net/yj13811596648/article/details/88746350

Posterior Regularization for Structured Latent Variable Models 一文里第二章的阅读笔记，用中文记录下自己的一些认知

关于样条模型的一本基础性的书，PDF版本

Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. e main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. e goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. e target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective.

The textbook for STAT343 in Dept. of Statistics in the University of Chicago.

加州大学伯克利分校的统计系和计算机科学系的教授迈克尔乔丹2003年所写。是图模型的最新著作，势必成为里程碑式的著作，值得一读。

Applied Linear Statistical Models By Kutner & Nachtsheim & Neter，哥伦比亚大学线性回归课程规定的教材，堪称经典，难度和深度兼具，想要了解线性回归模型朋友自取