Titlebook: Machine Learning, Optimization, and Data Science; 5th International Co Giuseppe Nicosia,Panos Pardalos,Vincenzo Sciacca Conference proceedi

Antarctic

An Information Analysis Approach into Feature Understanding of Convolutional Deep Neural Networks,er to address this problem, first the information content of learned encodings of neurons is investigated based on the calculation of the salient activation map of each neuron. The salient activation map is considered to be the activation map that has the highest aggregative value over all its cells

掃興

Stochastic Weight Matrix-Based Regularization Methods for Deep Neural Networks,od, Weight Reinitialization, utilizes a simplified Bayesian assumption with partially resetting a sparse subset of the parameters. The second one, Weight Shuffling, introduces an entropy- and weight distribution-invariant non-white noise to the parameters. The latter can also be interpreted as an en

Occipital-Lobe

Quantitative and Ontology-Based Comparison of Explanations for Image Classification,al-life scenarios. Since they do not intrinsically provide insights of their inner decision processes, the field of eXplainable Artificial Intelligence emerged. Different XAI techniques have already been proposed, but the existing literature lacks methods to quantitatively compare different explanat

顧客

巨大沒(méi)有

Adapted Random Survival Forest for Histograms to Analyze NOx Sensor Failure in Heavy Trucks,lure prediction models can be built using operational data from a large fleet of trucks. Machine learning methods such as Random Survival Forest (RSF) can be used to generate a survival model that can predict the survival probabilities of a particular component over time. Operational data from the t

FLASK

Incoherent Submatrix Selection via Approximate Independence Sets in Scalar Product Graphs, has an coherence smaller than a given threshold .. This problem can clearly be expressed as the one of finding a maximum cardinality stable set in the graph whose adjacency matrix is obtained by taking the componentwise absolute value of . and setting entries less than . to 0 and the other entries

HACK

Innovative

Relationship Estimation Metrics for Binary SoC Data,ket. Data taken from SoCs to achieve this is often characterised by very long concurrent bit vectors which have unknown relationships to each other. This paper explains and empirically compares the accuracy of several methods used to detect the existence of these relationships in a wide range of sys

尖酸一點(diǎn)

軟弱

Effect of Market Spread Over Reinforcement Learning Based Market Maker, and Artificial Intelligence. This paper examines the impact of Market Spread over the market maker’s (or liquidity provider’s) convergence ability through testing the hypothesis that “Knowledge of market spread while learning leads to faster convergence to an optimal and less volatile market making