Showing 81 - 100 of 9,743

81

pyStoNED: A Python Package for Convex Regression and Frontier Estimation
Dai, Sheng ; Fang, Yu-Hsueh ; Lee, Chia-Yen ; et al.

Statistics - Computation Statistics - Application... Statistics - Methodology
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82

Comparing programming languages for data analytics: Accuracy of estimation in Python and R.
Hill, Chelsey ; Du, Lanqing ; Johnson, Marina ; et al.
WIREs: Data Mining & Knowledge Discovery. May/Jun2024, Vol. 14 Issue 3, p1-21. 21p.

Programming languages Data mining Python programming langu... Data mining software Pythons Regression analysis
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83

graphkit-learn : a Python Library for Graph Kernels Based on Linear Patterns
Jia, Linlin ; Gaüzère, Benoit ; Honeine, Paul ; et al.
Pattern Recognition Letters. 143:113-121

Python Implementation Linear Patterns Graph Kernels [STAT.ML]Statistics [sta... Machine Learning [stat.M... [SPI.SIGNAL]Engineering...
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84

aeon: a Python toolkit for learning from time series
Middlehurst, Matthew ; Ismail-Fawaz, Ali ; Guillaume, Antoine ; et al.

Computer Science - Machi...
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85

Online Distributional Regression
Hirsch, Simon ; Berrisch, Jonathan ; Ziel, Florian

Machine Learning Econometrics Applications Computation Methodology
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86

Comparative analysis of machine learning models in predicting housing prices: a case study of Prishtina's real estate market
Hoxha, Visar
International Journal of Housing Markets and Analysis, 2024, Vol. 18, Issue 3, pp. 694-711.

Academic journal
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87

Gradient Boosted Regression Trees in Scikit-Learn
Prettenhofer, Peter ; Louppe, Gilles
PyData 2014, London, United Kingdom [GB], 21-23 February 2014

machine learning boosting python Engineering, computing &... Computer science Ingénierie, informatique...
Conference
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88

ReModels: Quantile Regression Averaging models
Zakrzewski, Grzegorz ; Skonieczka, Kacper ; Małkiński, Mikołaj ; et al.
SoftwareX, Volume 28, December 2024, 101905

Computer Science - Machi...
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89

Regression Trees for Fast and Adaptive Prediction Intervals
Cabezas, Luben M. C. ; Otto, Mateus P. ; Izbicki, Rafael ; et al.

Statistics - Machine Lea... Computer Science - Machi...
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90

skscope: Fast Sparsity-Constrained Optimization in Python
Wang, Zezhi ; Zhu, Jin ; Chen, Peng ; et al.

Statistics - Machine Lea... Computer Science - Machi... Statistics - Computation
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91

Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Pugnana, Andrea ; Mougan, Carlos ; Nielsen, Dan Saattrup

Computer Science - Machi... Statistics - Machine Lea...
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92

CoverUp: Effective High Coverage Test Generation for Python
Pizzorno, Juan Altmayer ; Berger, Emery D.

Computer Science - Softw... Computer Science - Artif... Computer Science - Machi... Computer Science - Progr... I.2.0 D.2.5
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93

Nonlinear Granger Causality using Kernel Ridge Regression
Fulmyk, Wojciech "Victor"

Statistics - Machine Lea... Computer Science - Machi... Economics - Econometrics Statistics - Methodology
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94

Artificial neural networks: revolutionizing computational chemistry for physicochemical property prediction.
Ahmed, Wakeel ; Rehman, Mudassar ; Saeedi, Ghulamullah ; et al.
Cogent Engineering. Dec2025, Vol. 12 Issue 1, p1-20. 20p.

Machine learning Artificial neural networ... Drug development QSAR models Parkinson's disease Pharmaceutical technolog...
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95

Calibrated Explanations for Regression
Löfström, Tuwe ; Löfström, Helena ; Johansson, Ulf ; et al.
Mach Learn 114, 100 (2025)

Computer Science - Machi... Computer Science - Artif... Statistics - Machine Lea... 68-04, 68W99
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96

The Gaussian-Linear Hidden Markov model: a Python package
Vidaurre, Diego ; Masaracchia, Laura ; Larsen, Nick Y. ; et al.

Quantitative Biology - N... Statistics - Machine Lea...
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97

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98

Data science prerequisites : Numpy, Matplotlib, and Pandas in Python
Data science: NumPy, Matplotlib, and Pandas in Python

Packt Publishing, publisher, production company. ; Lazy Programmer, speaker, author.

Video Recording
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99

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
Ryan, Gabriel ; Jain, Siddhartha ; Shang, Mingyue ; et al.

Computer Science - Softw... Computer Science - Machi...
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100

Optimizing Coverage-Driven Verification Using Machine Learning and PyUVM: A Novel Approach
Kumari, Suruchi ; Gadde, Deepak Narayan ; Kumar, Aman

Hardware Architecture Artificial Intelligence
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