Results 21 to 30 of about 128,390 (257)
Using Machine Learning to Identify Hydrologic Signatures With an Encoder–Decoder Framework
Water Resources Research, 2023 Hydrologic signatures are quantitative metrics that describe a streamflow time series. Examples include annual maximum flow, baseflow index and recession shape descriptors.
Tom E. Botterill, Hilary K. McMillan
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Separability Index in Supervised Learning [PDF]
, 2002 We propose a new statistical approach for characterizing the class separability degree in Rp. This approach is based on a nonparametric statistic called "the Cut Edge Weight". We show in this paper the principle and the experimental applications of this statistic.
Djamel A. Zighed +2 more
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The Case for Learned Spatial Indexes
CoRR, 2020 Spatial data is ubiquitous. Massive amounts of data are generated every day from billions of GPS-enabled devices such as cell phones, cars, sensors, and various consumer-based applications such as Uber, Tinder, location-tagged posts in Facebook, Twitter, Instagram, etc.
Varun Pandey +5 more
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Gambling on an empty stomach: Hunger modulates preferences for learned but not described risks
Brain and Behavior, 2023 Introduction We assess risks differently when they are explicitly described, compared to when we learn directly from experience, suggesting dissociable decision‐making systems. Our needs, such as hunger, could globally affect our risk preferences, but do
Maaike M. H. vanSwieten +2 more
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Learning to predict: Neuronal signatures of auditory expectancy in human event-related potentials
NeuroImage, 2021 Learning to anticipate future states of the world based on statistical regularities in the environment is a key component of perception and is vital for the survival of many organisms.
Yonatan I. Fishman +2 more
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The Case for Learned Index Structures [PDF]
Proceedings of the 2018 International Conference on Management of Data, 2018 Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not.
Kraska, Tim +4 more
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Pavo: A RNN-Based Learned Inverted Index, Supervised or Unsupervised?
IEEE Access, 2019 The booms of big data and graphic processing unit technologies have allowed us to explore more appropriate data structures and algorithms with smaller time complexity.
Wenkun Xiang +5 more
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Sewing narratives: engaging in lessons toward an other internationalisation
DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada, 2022 Answering Cavalcanti’s (2006) call to an Applied Linguistics enacted at its interfaces with other disciplines, in this paper we are inspired by an other globalisation, a concept coined by the geographer Milton Santos.
Ana Cecília Cossi Bizon +1 more
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Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index
Complexity, 2020 The so-called learned sorting, which was first proposed by Google, achieves data sorting by predicting the placement positions of unsorted data elements in a sorted sequence based on machine learning models.
Ying Zhao +7 more
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DILI: A Distribution-Driven Learned Index
Proceedings of the VLDB Endowment, 2023 Targeting in-memory one-dimensional search keys, we propose a novel DIstribution-driven Learned Index tree (DILI), where a concise and computation-efficient linear regression model is used for each node. An internal node's key range is equally divided by its child nodes such that a key search enjoys perfect model prediction accuracy to find the ...
Pengfei Li 0005 +5 more
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