Results 31 to 40 of about 6,305,527 (245)
MODEL THEORY AND MACHINE LEARNING [PDF]
The Bulletin of Symbolic Logic, 2019 AbstractAbout 25 years ago, it came to light that a single combinatorial property determines both an important dividing line in model theory (NIP) and machine learning (PAC-learnability). The following years saw a fruitful exchange of ideas between PAC-learning and the model theory of NIP structures.
Chase, Hunter, Freitag, James
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Predicting ineffability: Grammatical gender and noun pluralization in Icelandic
Glossa, 2023 The structure of inflectional paradigms is characterized by interdependencies between forms and categories. The question is what the nature of these interdependencies are and how they are discovered in acquisition.
Sigríður Mjöll Björnsdóttir
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Learning Representations in Model-Free Hierarchical Reinforcement Learning
, 2019 Common approaches to Reinforcement Learning (RL) are seriously challenged by large-scale applications involving huge state spaces and sparse delayed reward feedback.
Noelle, David C., Rafati, Jacob
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Model-based machine learning [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013 Several decades of research in the field of machine learning have resulted in a multitude of different algorithms for solving a broad range of problems. To tackle a new application, a researcher typically tries to map their problem onto one of these existing methods, often influenced by their familiarity with specific algorithms and by the availability
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SuperdropNet: A Stable and Accurate Machine Learning Proxy for Droplet‐Based Cloud Microphysics
Journal of Advances in Modeling Earth SystemsCloud microphysics has important consequences for climate and weather phenomena, and inaccurate representations can limit forecast accuracy. While atmospheric models increasingly resolve storms and clouds, the accuracy of the underlying microphysics ...
Shivani Sharma, David S. Greenberg
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DESAIN MODEL PEMBELAJARAN BLENDED LEARNING PADA PERKULIAHAN HUBUNGAN INTERNASIONAL
Refleksi Edukatika, 2019 Purpose of this researsch is to describe the design of the blended learning learning model in the course of International Relations in the Department of Social and Political Sciences, Universitas Negeri Padang.
Irwan Irwan, Monica Tiara, Rita Angraini
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Survey on Learning-Based Formal Methods: Taxonomy, Applications and Possible Future Directions
IEEE Access, 2020 Formal methods play an important role in testing and verifying software quality, especially in modern society with rapid technological updates.
Fujun Wang +3 more
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Teaching Factory Model Development in Vocational High Schools
Al-Ishlah: Jurnal Pendidikan, 2022 This study aims to find a conceptual model of teaching factory in the field of air conditioning and air conditioning engineering in vocational high schools (VHS).
Akbarul Kautsar +4 more
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Course Review Horay (CRH) Learning Model to Improve Mathematical Learning Outcomes of Integers Materials [PDF]
, 2019 One of the problems in the learning process of class V SD Al-Manar Surabaya in the academic year 2019-2020 integer material is the teacher uses lecture methods that make students quickly bored and passive. The impact is students have difficulty accepting
Abdillah, A. (Abdillah) +1 more
core
Communications of the ACM, 2017 Model learning emerges as an effective method for black-box state machine models of hardware and software components.
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