Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

"…<p dir="ltr">This dataset was designed to fine-tune code-generation models for converting algorithmic statements written in Kannada or English into Python code. …"

The genetic algorithm. حسب Viktoria Zemliak (19500335)

Covering solutions from running the genetic algorithm with different optimal hyperparameters. حسب Bettina Soós (10860933)

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Structure of the Kuhn-Munkres Algorithm. حسب Qingnan Ji (22662198)

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Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. حسب Dinh K. Tang (20469082)

"…<p>The average neuronal activity for each cluster of the Contact <b>(a)</b>, Rough <b>(b)</b> and Smooth stimulus <b>(c)</b> were determined using the Dirichlet Process Mixture Model (DPM) clustering algorithm. The optimal number of clusters was ascertained from the Gaussian Mixture Model (GMM) analysis to ensure a fair comparison between the two techniques. …"

Data and code resources. حسب Sam Hall-McMaster (10343795)

"…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …"

Results of RF algorithm screening factors. حسب Jintao Li (448681)

The relevant data file for this article. حسب Linsha Liu (20378293)

Sensitivity Analysis of the “Swift Effect” Across Matching Algorithms. حسب James M. Smoliga (9074225)

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On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization حسب Jiancong Xiao (22265935)

"…However, we argue that the predominant approach for aligning LLMs with human preferences through a reward model—reinforcement learning from human feedback (RLHF)—suffers from an inherent algorithmic bias due to its Kullback–Leibler-based regularization in optimization. …"

The genome coding scheme. حسب Wenbing Shi (5806160)

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The raw underlying data from this study. حسب Conor D. Hayden (20855587)

"…The device was assessed in a cohort of 180 healthy controls and 51 people with Amyotrophic Lateral Sclerosis (ALS) and compared against rating scales and traditional measures (Nine Hole Peg test and grip dynamometry). 14 features were extracted from the device and using a logistic regression algorithm, a 0-100 dexterity performance score was generated for each participant, which accounted for age/sex differences. …"

Relevant computed image data. حسب Zhaoyu Ku (20660546)

Definitions of relevant SSA parameters. حسب Yeping Shi (14279118)

"…The ammonia sensor’s output voltage is 1.3–2.05 V when the ammonia concentration ranges from 15 to 300 ppm. The ethanol gas sensor’s output voltage is 1.89–3.15 V when the ethanol gas concentration ranges from 8 to 200 ppm. …"

<b>Long-term evaluation of pollution</b><b>dynamics</b><b>in West Lake Taihu, China: Enhanced WQI and TLI models for improved accuracy and management relevance</b> حسب Bo Chao (1916083)

Summary of relevant works. حسب Bashir Olaniyi Sadiq (22478011)

Source Code and Dataset حسب Swathi Ganesan (14394924)

The speciation of ANEAT model evolution. حسب Wenbing Shi (5806160)

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The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات: