Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

This paper describes the design analysis and optimization of a novel 3-degrees of freedom (DOF) wearable parallel robot developed for ankle rehabilitation treatments. To address the challenges arising ...

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Structure learning of Bayesian Networks (BNs) is an important topic in machine learning. Driven by modern applications in genetics and brain sciences, accurate and efficient learning of large-scale BN ...

A comprehensive collection of Data Structures and Algorithms implemented in C. Includes Linked Lists, Stacks, Queues, Trees, Graphs, Sorting & Searching algorithms with detailed explanations and code.