Category Archives: Machine Learning

LION20: The 20th Learning and Intelligent OptimizatioN Conference

Posted on October 9, 2025 by decisionmanagementcommunity

The 20th Learning and Intelligent Optimization Conference (LION) will be held on 15-19 June 2026, in Milan, Italy. It will include a special session: LEARNING AND OPTIMIZATION UNDER UNCERTAINTY FOR DYNAMIC AUTONOMOUS NAVIGATION. https://www.lion20.org/

Posted in Machine Learning, Optimization, Uncertainty | 1 Comment

Making Operational Repetitive Decisions Under Uncertainty

Posted on October 1, 2025 by jacobfeldman

While just completed DecisionCAMP-2025 was dominated by the integrated use of Generative AI (LLMs) and Symbolic AI (Rules, Machine Learning, Optimization), in my closing notes I concentrated on the topic of making repetitive operational decisions in the real-world, frequently uncertain environments. In this article, I … Continue reading →

Posted in Decision Intelligence, Decision Making, Forecasting, Machine Learning, Optimization, Uncertainty | Leave a comment

ML: Pros and Cons

Posted on June 2, 2025 by decisionmanagementcommunity

A right-to-the-ground discussion about Machine Learning (ML) is happening on LinkedIn. After François Piednoel de Normandie explained why “ML can neither be safe nor secure“, Philippe Kahn wrote: “First off, you’re right: ML isn’t perfect (yet). But neither is my … Continue reading →

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“Expert Systems Will Lead the Next Chapter of AI”

Posted on April 18, 2025 by decisionmanagementcommunity

Clive Spenser pointed to a very interesting Oct-2024 article by Martin Milani that makes the case for coupling deep learning with expert systems. “In the next generation of AI, advanced expert systems will serve as the core “intelligence,” acting as … Continue reading →

Posted in Artificial Intelligence, Business Logic, Decision Making, Expert Systems, Human-Machine Interaction, Machine Learning | Leave a comment

Focus on Learning Not On Knowledge

Posted on December 6, 2024 by decisionmanagementcommunity

Peter Voss lists “Focus on Knowledge, Not Learning” as one of The 7 Deadly Sins of AGI Design: “There’s a common misconception that knowledge is a good measure of intelligence. This is not so. An encyclopedia has a lot of knowledge but … Continue reading →

Posted in Artificial Intelligence, Knowledge Representation, Machine Learning | Leave a comment

The evolution of machine learning experts

Posted on December 5, 2024 by decisionmanagementcommunity

Published by Andriy Burkov, author of The Hundred-Page Machine Learning Book: Link

Posted in Artificial Intelligence, Machine Learning | Leave a comment

Linear Regression in DMN

Posted on March 10, 2024 by decisionmanagementcommunity

In his recent post Bruce Silver wrote: “DMN is not optimized for machine learning algorithms, but it’s good enough for simple problems such as fitting a straight line to a set of data points, known as linear regression.  In this … Continue reading →

Posted in Decision Modeling, DMN, Machine Learning | Leave a comment

Learning Decision Rules with GPT

Posted on February 15, 2024 by decisionmanagementcommunity

On Feb 26 Simon Vandevelde, a frequent presenter at DecisionCAMPs, will talk about how to combine learning and reasoning in AI. Register for this free webinar. Here is his abstract: “Operational decisions are an important part of knowledge-intensive organizations, as these … Continue reading →

Posted in Decision Intelligence, Decision Modeling, DMN, Gen AI, GPT-4, LLM, Machine Learning | Leave a comment

The seven levels of artificial intelligence by Warren B. Powell

Posted on January 31, 2024 by decisionmanagementcommunity

Link

Posted in Artificial Intelligence, Business Analytics, Business Rules, Decision Optimization, Knowledge Representation, Machine Learning, Optimization | Leave a comment

A new family of antibiotics discovered with graph deep learning

Posted on December 22, 2023 by decisionmanagementcommunity

“The discovery of novel structural classes of antibiotics is urgently needed to address the ongoing antibiotic resistance crisis… Our approach enables the deep learning-guided discovery of structural classes of antibiotics and demonstrates that machine learning models in drug discovery can … Continue reading →

Posted in Artificial Intelligence, Machine Learning | Leave a comment