Results 161 to 170 of about 102,611 (306)

Is Mamba Capable of In-Context Learning? [PDF]

open access: yesarXiv
State of the art foundation models such as GPT-4 perform surprisingly well at in-context learning (ICL), a variant of meta-learning concerning the learned ability to solve tasks during a neural network forward pass, exploiting contextual information provided as input to the model.
arxiv  

Modulation of Swine Gut Microbiota by Phytogenic Blends and High Concentrations of Casein in a Validated Swine Large Intestinal In Vitro Model. [PDF]

open access: yesVet Sci, 2023
Popov IV   +7 more
europepmc   +1 more source

A General Framework for Observation Driven Time-Varying Parameter Models [PDF]

open access: yes
We propose a new class of observation driven time series models that we refer to as Generalized Autoregressive Score (GAS) models. The driving mechanism of the GAS model is the scaled likelihood score. This provides a unified and consistent framework for
Andre Lucas   +2 more
core  

Unsupervised Threat Hunting using Continuous Bag-of-Terms-and-Time (CBoTT) [PDF]

open access: yesarXiv
Threat hunting is sifting through system logs to detect malicious activities that might have bypassed existing security measures. It can be performed in several ways, one of which is based on detecting anomalies. We propose an unsupervised framework, called continuous bag-of-terms-and-time (CBoTT), and publish its application programming interface (API)
arxiv  

An Incident Management System Design to Protect Critical Infrastructures from Cyber Attacks

open access: yesJournal of Mathematical Sciences and Modelling
In recent years, there has been a noticeable trend toward targeted threats to information security, where companies are now leveraging vulnerabilities and risks associated with widely used services in order to generate financial gain.
Zeynep Gürkaş Aydın, Uğur Gürtürk
doaj   +1 more source

Periodic Heteroskedastic RegARFIMA models for daily electricity spot prices [PDF]

open access: yes
In this paper we consider different periodic extensions of regression models with autoregressive fractionally integrated moving average disturbances for the analysis of daily spot prices of electricity.
M. Angeles Carnero   +2 more
core  

The Effect of Transformations on the Approximation of Univariate (Convex) Functions with Applications to Pareto Curves [PDF]

open access: yes
In the literature, methods for the construction of piecewise linear upper and lower bounds for the approximation of univariate convex functions have been proposed.We study the effect of the use of increasing convex or increasing concave transformations ...
Hertog, D. den   +2 more
core   +1 more source

SIEM - instrument upravleniia informatsionnoi bezopasnost'iu [PDF]

open access: yesStudents' science: current realities, 2018
River Fleet, Andrei Andreevich Kravtsov
openaire   +1 more source

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