The Bible of AI

A Rigorous Analysis of Self‐Adaptation in Discrete Evolutionary Algorithms

A Rigorous Analysis of Self‐Adaptation in Discrete Evolutionary Algorithms

A key challenge to making effective use of evolutionary algorithms (EAs) is to choose appropriate settings for their parameters. However, the appropriate parameter setting generally depends on the structure of the optimization problem, which is often unknown to the user. Non‐deterministic parameter control mechanisms adjust parameters using information obtained from the evolutionary process.

A Rigorous Analysis of Self‐Adaptation in Discrete Evolutionary Algorithms Leer más »

Páginas: 1 2
Interpretable Machine Learning (A Guide for Making Black Box Models Explainable)

Interpretable Machine Learning (A Guide for Making Black Box Models Explainable)

The book focuses on machine learning models for tabular data (also called relational or structured data) and less on computer vision and natural language processing tasks. Reading the book is recommended for machine learning practitioners, data scientists, statisticians, and anyone else interested in making machine learning models interpretable.

Interpretable Machine Learning (A Guide for Making Black Box Models Explainable) Leer más »

Páginas: 1 2 3
Actions for Industry: Open Banking

Actions for Industry: Open Banking

Discover the opportunities and use cases of the open banking movement using Tink’s open platform. Tink, fintech leader in Europe in open banking services (aggregation and enrichment of bank data), opens its platform with a self-service format so that fintech and SMEs across Europe can take advantage of the potential that comes with the open banking movement.

Actions for Industry: Open Banking Leer más »

Páginas: 1 2
Explaining Autonomous Driving by Learning End-to-End Visual Attention

Explaining Autonomous Driving by Learning End-to-End Visual Attention

In this work we propose to train an imitation learning based agent equipped with an attention model. The attention model allows us to understand what part of the image has been deemed most important. Interestingly, the use of attention also leads to superior performance in a standard benchmark using the CARLA driving simulator.

Explaining Autonomous Driving by Learning End-to-End Visual Attention Leer más »

Páginas: 1 2 3
Unconventional Computer Arithmetic for Emerging Applications and Technologies

Unconventional Computer Arithmetic for Emerging Applications and Technologies

Arithmetic plays a major role in computing performance and efficiency. It is challenging to build platforms, ranging from embedded devices to high performance computers, supported on traditional binary arithmetic and silicon-based technologies that meet the requirements of today’s applications. In this talk, the state-of-the-art of non-conventional computer arithmetic is presented, considering alternative computing models and emerging technologies.

Unconventional Computer Arithmetic for Emerging Applications and Technologies Leer más »

Páginas: 1 2
Dive into Deep Learning

Dive into Deep Learning

«We set out to create a resource that could (i) be freely available for everyone; (ii) offer sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist; (iii) include runnable code, showing readers how to solve problems in practice; (iv) allow for rapid updates, both by us and also by the community at large; and (v) be complemented by a forum for interactive discussion of technical details and to answer questions».

Dive into Deep Learning Leer más »

Páginas: 1 2 3