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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.ML
iON AI Synthesis
The search results for "stat.ML" highlight diverse applications of statistical and machine learning methods in different domains. The Ω counter utilizes linear regression for frequency counting with a focus on electronic noise and statistical properties. Other studies, such as the streamflow predictability research, apply network-based approaches to analyze time series data, while the dynamic equations of kinetic spherical models and methods for combining signal significances indicate broader statistical applications. Additionally, the extension of the optimum interval method demonstrates the adaptation of statistical techniques to high-dimensional and high-statistical contexts.
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arxiv.org
The Omega Counter, a Frequency Counter Based on the Linear Regression

This article introduces the Ω counter, a frequency counter -- or a frequency-to-digital converter, in a different jargon -- based on the Linear Regression (LR) algorithm on time stamps. We discuss the noise of the electronics. We derive the statistical properties of the Ω counter on rigorous mathe…

physics.ins-det physics.data-an
arxiv.org
Insights On Streamflow Predictability Across Scales Using Horizontal Visibility Graph Based Networks

Streamflow is a dynamical process that integrates water movement in space and time within basin boundaries. The authors characterize the dynamics associated with streamflow time series data from about seventy-one U.S. Geological Survey (USGS) stream-gauge stations in the state of Iowa. They employ a…

physics.soc-ph stat.AP
arxiv.org
Transient of the kinetic spherical model between two temperatures

We solve the dynamic equation for the kinetic spherical model that initially is in an arbitrary equilibrium state and then is left to evolve in a heat-bath with another temperature. Flows of the Renormalizational group are determined.…

physics.data-an
arxiv.org
On the Combining Significances

We present the statistical approach to the combining of signal significances.…

physics.data-an
arxiv.org
Extending the optimum interval method

The optimum interval method for finding an upper limit of a one-dimensionally distributed signal in the presence of an unknown background is extended to the case of high statistics. There is also some discussion of how the method can be extended to the multiple dimensional case.…

physics.data-an physics.gen-ph stat.AP
arxiv.org
On Nondemolition Measurements of Photon Number: A Comment on quant-ph/0612031

Experimental results stated in quant-ph/0612031 are seminal: The authors have realized nondemolition measurements of the photon number. As to the interpretation of the results, it seems to be less than convincing: The treatment of the system state and of the role of measurement is not compatible wit…

quant-ph
arxiv.org
Bell Correlations as Selection Artefacts

We show that Bell correlations may arise as a special sort of selection artefact, produced by ordinary control of the initial state of the experiments concerned. This accounts for nonlocality, without recourse to any direct spacelike causality or influence. The argument improves an earlier proposal …

quant-ph physics.hist-ph
arxiv.org
A case concerning the improved transition probability

As is well known, the existed perturbation theory can be applied to calculations of energy, state and transition probability in many quantum systems. However, there are different paths and methods to improve its calculation precision and efficiency in our view. According to an improved scheme of per…

quant-ph physics.atom-ph
arxiv.org
Saudi-Dialect-ALLaM: LoRA Fine-Tuning for Dialectal Arabic Generation

Large language models (LLMs) for Arabic are still dominated by Modern Standard Arabic (MSA), with limited support for Saudi dialects such as Najdi and Hijazi. This underrepresentation hinders their ability to capture authentic dialectal variation. Using a privately curated Saudi Dialect Instruction …

cs.CL cs.LG
arxiv.org
Building and displaying name relations using automatic unsupervised analysis of newspaper articles

We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity Recognition tool, applied on clusters of an average of 15,000 news articles per day, in 15 different languages, we build…

cs.CL cs.IR