793 results for EMPIRICAL · 0.625s

arxiv.org/abs/2305.02131v1

Why Oatmeal is Cheap: Kolmogorov Complexity and Procedural Generation

Although procedural generation is popular among game developers, academic research on the topic has primarily focused on new applications, with some research into empirical analysis. In this paper we relate theoretical work in information theory to t...

arxiv.org/abs/1411.2234v1

Updated radio $Σ-D$ relation for Galactic supernova remnants

We present updated empirical radio surface-brightness-to-diameter ($Σ-D$) relation for supernova remnants (SNRs) in our Galaxy. Our original calibration sample of Galactic SNRs with independently determined distances (Pavlovic et al. 2013, hereafter...

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arxiv.org/abs/2401.12274v1

Are Charter Value and Supervision Aligned? A Segmentation Analysis

Previous work suggests that the charter value hypothesis is theoretically grounded and empirically supported, but not universally. Accordingly, this paper aims to perform an analysis of the relations between charter value, risk taking, and supervisio...

en.wikipedia.org/wiki/Satisfaction_paradox

Satisfaction paradox - Wikipedia

The satisfaction paradox is an empirical phenomenon in quality-of-life research, describing how objectively negative life circumstances have relatively

arxiv.org/abs/1603.06050v5

Tukey's transformational ladder for portfolio management

Over the past half-century, the empirical finance community has produced vast literature on the advantages of the equally weighted S\&P 500 portfolio as well as the often overlooked disadvantages of the market capitalization weighted Standard and Poo...

arxiv.org/abs/2302.04181v3

Attending to Graph Transformers

Recently, transformer architectures for graphs emerged as an alternative to established techniques for machine learning with graphs, such as (message-passing) graph neural networks. So far, they have shown promising empirical results, e.g., on molecu...

arxiv.org/abs/2111.00963v1

Machine Learning aided Crop Yield Optimization

We present a crop simulation environment with an OpenAI Gym interface, and apply modern deep reinforcement learning (DRL) algorithms to optimize yield. We empirically show that DRL algorithms may be useful in discovering new policies and approaches t...

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Mathematics - Wikipedia

Mathematics is a field of study that discovers and organizes methods, theories, and theorems that are developed and proved for the needs of empirical sciences and mathematics itself.

arxiv.org/abs/1805.09902v4

Generic Conditions for Forecast Dominance

Recent studies have analyzed whether one forecast method dominates another under a class of consistent scoring functions. While the existing literature focuses on empirical tests of forecast dominance, little is known about the theoretical conditions...

arxiv.org/abs/2501.00253v1

Empirical forms of the Petty projection inequality

The Petty projection inequality is a fundamental affine isoperimetric principle for convex sets. It has shaped several directions of research in convex geometry which forged new connections between projection bodies, centroid bodies, and mixed volume...

en.wikipedia.org/wiki/Learning_engineering

Learning engineering - Wikipedia

tools, and techniques from a variety of technical, pedagogical, empirical, and design-based disciplines to create effective and engaging learning experiences

www.bing.com/ck/a?!&&p=c6c1c4d880da82fc4a00997009f7046fdbd02d1322ff369afce4a35836bc4e48JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=009c17ba-077a-6a2a-0eb8-00af06796bcf&u=a1aHR0cHM6Ly93d3cudXNhdG9kYXkuY29tL3N0YWZmLzY4Nzg3NzUwMDEvcmV4LWh1cHBrZS8&ntb=1

Rex Huppke - USA TODAY

Early in his career as a humor (ish) columnist at the Chicago Tribune, Rex Huppke declared himself “America’s most-beloved columnist,” a claim wholly unsupported by facts or empirical evidence.

www.reddit.com/r/doomfistmains/comments/1qqhgfr/systematically_analysing_if_doomfist_is_a_bum/

Systematically Analysing if Doomfist is a Bum

# Premise : Now, the recent leaks and new lore developments have people bringing up that Doom is a Bum. While my personal opinion on the matter's already been said, I want to empirically find out i...

arxiv.org/abs/1407.5155v4

Sparse and spurious: dictionary learning with noise and outliers

A popular approach within the signal processing and machine learning communities consists in modelling signals as sparse linear combinations of atoms selected from a learned dictionary. While this paradigm has led to numerous empirical successes in v...

arxiv.org/abs/1808.10033v1

Use of Source Code Similarity Metrics in Software Defect Prediction

In recent years, defect prediction has received a great deal of attention in the empirical software engineering world. Predicting software defects before the maintenance phase is very important not only to decrease the maintenance costs but also incr...

arxiv.org/abs/0901.1392v5

The Spread of the Credit Crisis: View from a Stock Correlation Network

The credit crisis roiling the world's financial markets will likely take years and entire careers to fully understand and analyze. A short empirical investigation of the current trends, however, demonstrates that the losses in certain markets, in t...

en.wikipedia.org/wiki/Ir%C3%A8ne_Deli%C3%A8ge

Irène Deliège - Wikipedia

2009. The journal has a unique remit, covering empirical science, artificial intelligence, education, systematic musicology, and philosophy. The publisher

arxiv.org/abs/1711.08285v2

Scalar-tensor black holes in an expanding universe

In this review we focus our attention on scalar-tensor gravity models and their empirical verification in terms of black hole and wormhole physics. We focus on a black hole, embedded in an expanding universe, describing both cosmological and astrophy...

arxiv.org/abs/2601.11601v1

Latent Variable Phillips Curve

This paper re-examines the empirical Phillips curve (PC) model and its usefulness in the context of medium-term inflation forecasting. A latent variable Phillips curve hypothesis is formulated and tested using 3,968 randomly generated factor combinat...

arxiv.org/abs/2503.06407v1

Contrasting to spark creativity in software development teams

Three decades of empirical research in high-performing software development teams provides evidence that creativity can be promoted by an effective, disciplined development culture. This paper describes 'contrasting' as a key driver for creativity; d...