Matrix Organizations: How Leaders Can Be More Effective

Matrix structures don’t work on their own. The work is less about control and more about integration, often without formal ...
IEEE

A Continuous-Time Markov Decision Process-Based Method With Application in a Pursuit-Evasion Example

Abstract: This paper presents a novel method-continuous-time Markov decision process (CTMDP)-to address the uncertainties in pursuit-evasion problem. The primary difference between the CTMDP and the ...
VentureBeat

This tree search framework hits 98.7% on documents where vector search fails

A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents. The classic RAG workflow (chunk documents, calculate ...
IEEE

A Group Decision Making Model for Integrating Heterogeneous Information

Abstract: This paper proposes a group decision-making (GDM) method for integrating heterogeneous information. To avoid information loss, instead of transforming heterogeneous information into a single ...
Aclu.org

Free Speech

Since the 1920s, the ACLU has been involved in virtually all of the landmark speech cases to reach the U.S. Supreme Court. In a landmark 1997 decision, the U.S. Supreme Court agreed with the ACLU’s ...
GitHub

A package for Multiple-criteria decision-making techniques in Julia.

Multiple-criteria decision-making is an inter-discipline subject and there is a vast amount of research in the literature in this area. However, the existing software packages in this area are ...
Inc

Understanding the Time Value Matrix: Prioritizing High-Value Tasks

What is the Time Value Matrix? The Time Value Matrix is a method for categorizing tasks based on their value and impact on your business. It divides tasks into four categories: A, B, C, and D. Each ...
Investopedia

Organizational Structure for Companies With Examples and Benefits

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
GitHub

STreeD: Separable Trees with Dynamic programming

STreeD is a framework for optimal binary decision trees with separable optimization tasks. A separable optimization task is a task that can be optimized separately for the left and right subtree. The ...
Scientific American

How Recommendation Algorithms Work—And Why They May Miss the Mark

Whether we’re using Spotify, Amazon, Netflix or Instagram, we encounter algorithms that recommend content or products to us every day. In 2017 Netflix stated that its users discover around 80 percent ...
Visual Studio Magazine

Binary Classification Using a scikit Decision Tree

For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, income and political leaning. There are many other techniques for binary ...