Is Mamba Capable of In-Context Learning? [PDF]
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]
Popov IV+7 more
europepmc +1 more source
A General Framework for Observation Driven Time-Varying Parameter Models [PDF]
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]
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
THE DEVELOPMENT OF E-LKPD (STUDENT WORKSHEET) IN SCIENCE LEARNING IN GRADE V AT SIEM PRIMARY SCHOOL
Lili Kasmini+3 more
openalex +2 more sources
An Incident Management System Design to Protect Critical Infrastructures from Cyber Attacks
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
Density and population size estimates of the endangered northern yellow-cheeked crested gibbon Nomascus annamensis in selectively logged Veun Sai-Siem Pang National Park in Cambodia using acoustic spatial capture-recapture methods. [PDF]
McGrath SJ+3 more
europepmc +1 more source
Periodic Heteroskedastic RegARFIMA models for daily electricity spot prices [PDF]
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]
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]
River Fleet, Andrei Andreevich Kravtsov
openaire +1 more source