Titlebook: Artificial Intelligence and Soft Computing; 21st International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2023

北京人起源

Multi-objective Bayesian Optimization for Neural Architecture Searchod is applied to combine classification accuracy with network size on two benchmark datasets here. The results indicate that MO-BayONet is able to outperform an available genetic algorithm based approach.

overwrought

Multilayer Perceptrons with Banach-Like Perceptrons Based on Semi-inner Products – About Approximatiroducts are related either to uniformly convex or to reflexive Banach-spaces. Most famous examples of uniformly convex Banach spaces are the spaces . and . for .. The result is valid for all discriminatory activation functions including the sigmoid and the . activation.

调整校对

Sinus-Node

Misgiving

A Fast Learning Algorithm for the Multi-layer Neural Networks boosts the algorithm significantly due to the elimination of the computation of the square root. In a classic variant scaled rotations utilize so-called scale factors — .. It turns out that the scale factors can be omitted during the computation which boosts the overall algorithm performance even

languor

A New Computational Approach to the Levenberg-Marquardt Learning Algorithmns to effectively reduce the high computational load of this algorithm. Detailed parallel neural network computations are explicitly discussed. Additionally obtained acceleration is shown based on a few test problems.

entice

向宇宙

An Empirical Study of Adversarial Domain Adaptation on Time Series Datan various time series domains. Although several domain-adversarial models have been proposed in the past, there is a lack of empirical results with different types of time series. This paper provides an empirical analysis with multiple models, datasets and evaluation objectives. Two models known fro

Communicate

Human-AI Collaboration to Increase the Perception of VRsic functionality for immersing yourself in a virtual environment. In this paper, we propose a human-AI collaboration for analyzing the newly generated images that can be used for creating worlds. The presented method is based on analyzing different scenes (from simulation and real environment) usin

高度表

Portfolio Transformer for Attention-Based Asset Allocationeights. Any errors made during the forecasting step reduce the accuracy of the asset weightings, and hence the profitability of the overall portfolio. The . (PT) network, introduced here, circumvents the need to predict asset returns and instead directly optimizes the Sharpe ratio, a risk-adjusted p