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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...146 Hits 1 – 20 of 2.913 1 Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources McMillan-Major, Angelina; Alyafeai, Zaid; Biderman, Stella... In: https://hal.inria.fr/hal-03550289 ; 2022 (2022) BASE Show details 2 An Overview of Indian Spoken Language Recognition from Machine Learning Perspective Dey, Spandan; Sahidullah, Md; Saha, Goutam In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022) BASE Show details 3 A gentle introduction to Girard's Transcendental Syntax for the linear logician Eng, Boris In: https://hal.archives-ouvertes.fr/hal-02977750 ; 2022 (2022) BASE Show details 4 Similarity between person roles in a card sorting experiment ... Maldonado, Mora. - : Open Science Framework, 2022 BASE Show details 5 FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ... FAIRsharing Team. - : FAIRsharing, 2022 BASE Show details 6 How ISO C became unusable for operating systems development ... Yodaiken, Victor. - : arXiv, 2022 BASE Show details 7 A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ... Negrete, Lisandro; Francavilla, Marina Lenguas; Damborenea, Cristina. - : Taylor & Francis, 2022 BASE Show details 8 A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ... Negrete, Lisandro; Francavilla, Marina Lenguas; Damborenea, Cristina. - : Taylor & Francis, 2022 BASE Show details 9 The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ) ... Francisco, Rita; Brasil, Sandra; Pascoal, Carlota. - : figshare, 2022 BASE Show details 10 The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ) ... Francisco, Rita; Brasil, Sandra; Pascoal, Carlota. - : figshare, 2022 BASE Show details 11 The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication ... Karten, Seth; Agrawal, Siddharth; Tucker, Mycal. - : arXiv, 2022 BASE Show details 12 Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ... Sabaté, Lara Narbona; Mesbahi, Geoffrey; Dezecache, Guillaume. - : Taylor & Francis, 2022 BASE Show details 13 Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ... Sabaté, Lara Narbona; Mesbahi, Geoffrey; Dezecache, Guillaume. - : Taylor & Francis, 2022 BASE Show details 14 The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ... Seaman, Karla; Ludlow, Kristiana; Wabe, Nasir. - : figshare, 2022 BASE Show details 15 The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ... Seaman, Karla; Ludlow, Kristiana; Wabe, Nasir. - : figshare, 2022 BASE Show details 16 gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach ... Dornheim, Johannes. - : arXiv, 2022 Abstract: In real-world decision optimization, often multiple competing objectives must be taken into account. Following classical reinforcement learning, these objectives have to be combined into a single reward function. In contrast, multi-objective reinforcement learning (MORL) methods learn from vectors of per-objective rewards instead. In the case of multi-policy MORL, sets of decision policies for various preferences regarding the conflicting objectives are optimized. This is especially important when target preferences are not known during training or when preferences change dynamically during application. While it is, in general, straightforward to extend a single-objective reinforcement learning method for MORL based on linear scalarization, solutions that are reachable by these methods are limited to convex regions of the Pareto front. Non-linear MORL methods like Thresholded Lexicographic Ordering (TLO) are designed to overcome this limitation. Generalized MORL methods utilize function approximation to ... Keyword: 68T05, 68T42; Artificial Intelligence cs.AI; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; I.2.8; Machine Learning cs.LG; Systems and Control eess.SY URL: https://dx.doi.org/10.48550/arxiv.2204.04988 https://arxiv.org/abs/2204.04988 BASE Hide details 17 A Literature Survey of Recent Advances in Chatbots Guendalina Caldarini; Sardar Jaf; Kenneth McGarry In: Information; Volume 13; Issue 1; Pages: 41 (2022) BASE Show details 18 Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ... Rovetto, Robert J.. - : ESIP, 2022 BASE Show details 19 Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ... Rovetto, Robert J.. - : ESIP, 2022 BASE Show details 20 On the role of population heterogeneity in emergent communication ... Rita, Mathieu; Strub, Florian; Grill, Jean-Bastien. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...146

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