Entropy, Free Full-Text

Differential replication is a method to adapt existing machine learning solutions to the demands of highly regulated environments by reusing knowledge from one generation to the next. Copying is a technique that allows differential replication by projecting a given classifier onto a new hypothesis space, in circumstances where access to both the original solution and its training data is limited. The resulting model replicates the original decision behavior while displaying new features and characteristics. In this paper, we apply this approach to a use case in the context of credit scoring. We use a private residential mortgage default dataset. We show that differential replication through copying can be exploited to adapt a given solution to the changing demands of a constrained environment such as that of the financial market. In particular, we show how copying can be used to replicate the decision behavior not only of a model, but also of a full pipeline. As a result, we can ensure the decomposability of the attributes used to provide explanations for credit scoring models and reduce the time-to-market delivery of these solutions.

Understanding the Role of Entropy in High Entropy Oxides

The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning

Thermodynamic - Calculations involving Free Energy (A-Level Chemistry) - Study Mind

Gibbs free-energy change ΔG and entropy change ΔS

Entropy, Entropy Change, Expression for entropy change

Entropy, Entropy Change and the Free Energy Equation

Solved 7. Why is there a difference in the conformational

Entropy, Free Full-Text

Free energy and entropy

PDF) Chemical Equilibrium, Free Energy, and Entropy of Mixing

Entropy-Free Energy 01 Answers PDF, PDF, Entropy

Estimating time-dependent entropy production from non-equilibrium trajectories

Entropy and Free Energy - ppt video online download