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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 Hits 1 – 20 of 100 1 A Refutation of Finite-State Language Models through Zipf’s Law for Factual Knowledge Łukasz Dębowski In: Entropy ; Volume 23 ; Issue 9 (2021) BASE Show details 2 Cadenas de Markov : métodos cuantitativos para la toma de decisiones III ; Métodos cuantitativos para la toma de decisiones III Fonollosa Guardiet, Juan Bautista; Sunyer Torrents, Albert; Sallán Leyes, José María. - : Universitat Politècnica de Catalunya. Iniciativa Digital Politècnica, 2021 BASE Show details 3 The Fundamental Limit Theorem of Countable Markov Chains Gentry, Nathanael In: Senior Honors Theses (2021) BASE Show details 4 Robot Motion Planning in an Unknown Environment with Danger Space Jahanshahi; Jafarzadeh; Sari... In: Electronics ; Volume 8 ; Issue 2 (2019) BASE Show details 5 Artificial Intelligence in the Context of Human Consciousness DeFries, Hannah In: Senior Honors Theses (2019) Abstract: Artificial intelligence (AI) can be defined as the ability of a machine to learn and make decisions based on acquired information. AI’s development has incited rampant public speculation regarding the singularity theory: a futuristic phase in which intelligent machines are capable of creating increasingly intelligent systems. Its implications, combined with the close relationship between humanity and their machines, make achieving understanding both natural and artificial intelligence imperative. Researchers are continuing to discover natural processes responsible for essential human skills like decision-making, understanding language, and performing multiple processes simultaneously. Artificial intelligence attempts to simulate these functions through techniques like artificial neural networks, Markov Decision Processes, Human Language Technology, and Multi-Agent Systems, which rely upon a combination of mathematical models and hardware. Keyword: AI; Artificial Intelligence; Electrical and Computer Engineering; Human Language Technology; Markov processes; Neural Networks URL: https://digitalcommons.liberty.edu/honors/825 https://digitalcommons.liberty.edu/cgi/viewcontent.cgi?article=1898&context=honors BASE Hide details 6 ImproteK: introducing scenarios into human-computer music improvisation Nika, Jérôme; Chemillier, Marc; Assayag, Gérard In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017) BASE Show details 7 Hierarchical semi-Markov conditional random fields for deep recursive sequential data Tran, Truyen; Phung, Dinh; Bui, Hung. - : Elsevier, 2017 BASE Show details 8 STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE Mooney,Raymond. - 2017 BASE Show details 9 Generic Reinforcement Learning Beyond Small MDPs Daswani, Mayank. - 2016 BASE Show details 10 Constructing States for Reinforcement Learning Mahmud, Hassan In: Proceedings of International Conference on Machine Learning (ICML 2010) (2015) BASE Show details 11 Short text authorship attribution via sequence kernels, Markov chains and author unmasking: An investigation Sanderson, Conrad; Guenter, Simon In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing ; http://acl.ldc.upenn.edu/W/W06/#W06-1600 (2015) BASE Show details 12 Semi-Markov models for sequence segmentation Shi, Qinfeng; Altun, Yasemin; Smola, Alexander... In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2007) ; http://www.aclweb.org/anthology-new/D/D07/D07-1.pdf (2015) BASE Show details 13 Generic Reinforcement Learning Beyond Small MDPs ... Daswani, Mayank. - : The Australian National University, 2015 BASE Show details 14 Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences Crutchfield, James P In: DTIC (2015) BASE Show details 15 A Fast Variational Approach for Learning Markov Random Field Language Models Jernite, Yacine; Rush, Alexander M; Sontag, David In: DTIC (2015) BASE Show details 16 Planning Human-Computer Improvisation Nika, Jérôme; Echeveste, José-Manuel; Chemillier, Marc... In: International Computer Music Conference ; https://hal.archives-ouvertes.fr/hal-01053834 ; International Computer Music Conference, Sep 2014, Athens, Greece ; http://icmc14-smc14.net (2014) BASE Show details 17 Markov Substitute Processes : a statistical model for linguistics ; Processus de substitution markoviens : un modèle statistique pour la linguistique Mainguy, Thomas. - : HAL CCSD, 2014 In: https://tel.archives-ouvertes.fr/tel-01127344 ; General Mathematics [math.GM]. Université Pierre et Marie Curie - Paris VI, 2014. English. ⟨NNT : 2014PA066354⟩ (2014) BASE Show details 18 Matrix analytic methods with Markov decision processes for hydrological applications. Fisher, Aiden James. - 2014 BASE Show details 19 Understanding Tonal Languages Zahorian, Stephen A In: DTIC (2013) BASE Show details 20 Probabilistic Sequence Models with Speech and Language Applications Henter, Gustav Eje. - : KTH, Kommunikationsteori, 2013. : Stockholm, 2013 BASE Show details Page: 1 2 3 4 5

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