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arxiv.org/abs/1906.01101v1
Efficient approximation lies at the heart of large-scale machine learning problems. In this paper, we propose a novel, robust maximum entropy algorithm, which is capable of dealing with hundreds of moments and allows for computationally efficient app...
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en.wikipedia.org/wiki/Adding_machine
An adding machine is a class of mechanical calculator, usually specialized for bookkeeping calculations. Consequently, the earliest adding machines were
en.wikipedia.org/wiki/Homer_Kelley
the book The Golfing Machine (often abbreviated as TGM) to Chuck Evans, Joe Daniels and Danny Elkins. Elkins has since left The Golfing Machine Company
arxiv.org/abs/2208.02400v3
Ensemble learning has gained success in machine learning with major advantages over other learning methods. Bagging is a prominent ensemble learning method that creates subgroups of data, known as bags, that are trained by individual machine learning...
arxiv.org/abs/2310.05227v5
Accurate hydrological understanding and water cycle prediction are crucial for addressing scientific and societal challenges associated with the management of water resources, particularly under the dynamic influence of anthropogenic climate change....
arxiv.org/abs/1303.1152v2
We investigate the relation of two fundamental tools in machine learning and signal processing, that is the support vector machine (SVM) for classification, and the Lasso technique used in regression. We show that the resulting optimization problems...
en.wikipedia.org/wiki/Support_vector_machine
In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms
arxiv.org/abs/2303.08301v1
The quality of the data in a dataset can have a substantial impact on the performance of a machine learning model that is trained and/or evaluated using the dataset. Effective dataset management, including tasks such as data cleanup, versioning, acce...
arxiv.org/abs/2601.05232v2
We used machine learning and artificial intelligence: 1) to measure levels of peace in countries from news and social media and 2) to develop on-line tools that promote peace by helping users better understand their own media diet. For news media, we...
arxiv.org/abs/2203.00870v3
Shapley values, which were originally designed to assign attributions to individual players in coalition games, have become a commonly used approach in explainable machine learning to provide attributions to input features for black-box machine learn...
arxiv.org/abs/1709.05869v1
We investigate initial information, unbounded memory and randomization in gathering mobile agents on a grid. We construct a state machine, such that it is possible to gather, with probability 1, all configurations of its copies. This machine has init...
