Št. zadetkov: 45
Objavljeni znanstveni prispevek na konferenci
Oznake:
The impact of statistics for benchmarking in evolutionary computation research
Leto:
2018
Vir:
Institut Jožef Stefan (IJS)
Video in druga učna gradiva
Oznake:
computer science;data mining;artificial intelligence
In this paper, we present the analytical results of the ingredients
matching in bakery products. We collected recipes
from a free recipes web site and the main goal was to find
association rules between the recipes’ ingredients. For this
purpose we applied an Apriori algorithm and various visual ...
Leto:
2015
Vir:
videolectures.net
Objavljeni znanstveni prispevek na konferenci
Oznake:
izbira algoritmov;black-box optimization;exploratory landscape analysis;single-objective optimization;forecasting performance;
Per-run algorithm performance improvement forecasting using exploratory landscape analysis features
Leto:
2024
Vir:
Institut Jožef Stefan (IJS)
Objavljeni znanstveni prispevek na konferenci
Oznake:
single-objective optimization;latent representations;explainability;
Leto:
2024
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
računalništvo;algoritmi;optimizacija;
Characterization of the optimization problem is a crucial task in many recent optimization research topics (e.g., explainable algorithm performance assessment, and automated algorithm selection and configuration). The state-of-the-art approaches use exploratory landscape analysis to represent the op ...
Leto:
2024
Vir:
Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
module importance;empirical study;black-box optimization;benchmarking;
This study presents an in-depth analysis of module importance within the modular CMA-ES (modCMA-ES) algorithm using exploratory data analysis and large-scale benchmarking across the BBOB suite. Rather than introducing new algorithms, our contribution lies in uncovering how individual modules and the ...
Leto:
2025
Vir:
Institut Jožef Stefan (IJS)
Objavljeni znanstveni prispevek na konferenci
Oznake:
experimental design;number of runs;stochastic optimization algorithms;
Adaptive estimation of the number of algorithm runs in stochastic optimization
Leto:
2025
Vir:
Institut Jožef Stefan (IJS)
Objavljeni znanstveni prispevek na konferenci
Oznake:
algorithm performance prediction;automated machine learning;zero-shot learning;black-box optimization;
Leto:
2023
Vir:
Institut Jožef Stefan (IJS)
Diplomsko delo
Oznake:
food composition database;nutrient values;missing data;graph;machine learning;knowledge graph embeddings;data exploration;missing value imputation;ampligraph;computer science;computer science and mathematics;interdisciplinary studies;diploma;
Food composition databases (FCDBs) have presented an integral part of food and nutritional research, dietary assessment, and related (e.g., health, environmental) fields. However, as with other scientific disciplines, the domain of nutrition and food composition is no exception to the problem of mis ...
Leto:
2023
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Izvirni znanstveni članek
Oznake:
algorithm selection;multi-target regression;generalization;benchmarking;
The task of selecting the best optimization algorithm for a particular problem is known as algorithm selection (AS). This involves training a model using landscape characteristics to predict algorithm performance, but a key challenge remains: making AS models generalize effectively to new, untrained ...
Leto:
2024
Vir:
Institut Jožef Stefan (IJS)