Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

A python based HTML to text conversion library, command line client and Web service with support for nested tables, a subset of CSS and optional support for providing an annotated output. Inscriptis ...

来自中国人民大学的董冠霆，主要研究方向为智能信息检索和智能体强化学习，曾获国家奖学金、北京市优秀毕业生等荣誉，并入选国家自然科学基金青年学生基础研究项目 (博士生)、中国科协青年人才托举工程博士生专项计划资助，代表工作包括 ARPO、AUTOIF.DMT、Search-o1、Webthinker、 FlashRAG 等, 受到国内外研究者的广泛关注。其中监督微调数据配比策略 ...

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

Match made in heaven.

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple ...