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Atomistic Topological Indices Applied to Benzodiazepines using Various Regression Methods

David A. Winkler, Frank R. Burden, Andrew J. R. Watkins
1998 Quantitative Structure-Activity Relationships  
The use of atomic positionally independent molecular representations of a set of benzodiazepines is shown to yield a comparable structure-activity model than the traditional physicochemical representations  ...  It appears that the complex interrelationships between elements of a simple molecular representation may be capable of encoding subtle molecular structural elements.  ...  The ANN's used were three layer fully connected, feed forward networks which were trained by the use of back propagation.  ... 
doi:10.1002/(sici)1521-3838(199801)17:01<14::aid-qsar14>3.0.co;2-u fatcat:jkq53ycn3raibop5bqxeobgwle

Navigating the Complex Compositional Landscape of High-Entropy Alloys [article]

Jie Qi, Andrew M. Cheung, S. Joseph Poon
2021 arXiv   pre-print
The prospect of high-entropy alloys as a new class of functional materials with improved properties is featured in light of entropic effects.  ...  This review article provides an overview of the data-driven methods published to date to tackle this exponentially hard problem of designing high-entropy alloys.  ...  Three kinds of ML algorithms were used; (1) k-nearest neighbors (KNN) returned a prediction accuracy no larger than 68.6 %, (2) SVM returned an accuracy of 64.3 %, and (3) supervised multi-layer feed-forward  ... 
arXiv:2011.14403v2 fatcat:r424l7eprjdjvpogp3vo4x7dyu

Learning to compress and search visual data in large-scale systems [article]

Sohrab Ferdowsi
2019 arXiv   pre-print
These models are then extended to multi-layers, namely the RRQ and the ML-STC frameworks, where the latter is further evolved as a powerful deep neural network architecture with fast and sample-efficient  ...  The problem of high-dimensional and large-scale representation of visual data is addressed from an unsupervised learning perspective.  ...  Feed-forward neural networks A prominent instance of the prior decomposition of Eq. 2.13 is the family of feed-forward neural networks.  ... 
arXiv:1901.08437v1 fatcat:bqtixilyt5c7pb2uphjkkw5ivm

Progress in Speech Recognition for Romanian Language [chapter]

Corneliu-Octavian Dumitru, Inge Gavat
2008 Advances in Robotics, Automation and Control  
Typically, the classical MLPs have layered feed-forward architecture, with an input layer, one or more intermediate (hidden) layers, and one output layer.  ...  The numbers of neurons in the hidden layer was experimentally determined, trying to achieve an optimum between the following two opposite requirements: (a) lower computing volume and more rapid process  ...  Edited by Jesus Aramburo and Antonio Ramirez The book presents an excellent overview of the recent developments in the different areas of Robotics, Automation and Control.  ... 
doi:10.5772/5823 fatcat:gu7h52bzqzfjhiiusbfprx6pua

Population-Based Methods: PARTICLE SWARM OPTIMIZATION – Development of a General-Purpose Optimizer and Applications [article]

Mauro S. Innocente
2021 arXiv   pre-print
a parallel, cooperative exploration of the search-space by means of a population of individuals.  ...  The main goal of this thesis consists of developing an optimizer that can perform reasonably well on most problems.  ...  More precisely, the method is suitable for feed-forward networks, even if they are not organized in layers: …the network does not have to be organized in layers (any pattern of connectivity that permits  ... 
arXiv:2101.10901v1 fatcat:nbzmzhe6czg2njia3ek2x57r2u

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) [article]

Zied Bouraoui and Antoine Cornuéjols and Thierry Denœux and Sébastien Destercke and Didier Dubois and Romain Guillaume and João Marques-Silva and Jérôme Mengin and Henri Prade and Steven Schockaert and Mathieu Serrurier and Christel Vrain
2019 arXiv   pre-print
Some common concerns are identified and discussed such as the types of used representation, the roles of knowledge and data, the lack or the excess of information, or the need for explanations and causal  ...  This paper is the first step of a work in progress aiming at a better mutual understanding of research in KRR and ML, and how they could cooperate.  ...  [BHKS98] show for example how an instance of the Boolean satisfiability problem can be translated into a feed-forward network that parallelizes GSAT, a local-search algorithm for Boolean satisfiability  ... 
arXiv:1912.06612v1 fatcat:yfnx3pzs6jhxtggaylc76pwjc4

URSI National Committee Report: Commission 6. Radio Waves and Circuits. Part 1. Information Theory and Coding

P. Elias
1960 Journal of Research of the National Bureau of Standards Section D Radio Propagation  
A number of counterexamples were found to common conjectures about optimum codes.  ...  Blac kwell, Brei1uann, an d Thomasian, The capacity of a class of cha nnels, Ann. M at h. Stat. 30, 1229Stat. 30, (1959.  ...  Literature of Dielectrics, Conference on ElecLrical In sulaLion, National Academy of Sciences-N aLio llal Research Council, Vols. 20, 21 , 22 [1956 Additional categories of phenomena involving " multiple  ... 
doi:10.6028/jres.064d.076 fatcat:as4o4awtpzaevjutixsygjqbpm

Evolution of functional specialization in a morphologically homogeneous robot

Joshua Auerbach, Josh C. Bongard
2009 Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09  
Evolutionary robotics-the use of evolutionary algorithms to automate the production of autonomous robotshas been an active area of research for two decades.  ...  Particular focus is given to methods which evolve not only the control policies of manually-designed robots, but instead evolve both the control policy and physical form of the robot.  ...  Additionally CTRNNs contain recurrent connections, and thus are capable of a form of memory, in contrast to traditional feed-forward ANNs where such connections are not allowed.  ... 
doi:10.1145/1569901.1569915 dblp:conf/gecco/AuerbachB09 fatcat:pj7filcoufc7tb23ux3agpra5u

Cascading Network Failure in Power Grid Blackouts [chapter]

Dr.Ian Dobson
2014 Encyclopedia of Systems and Control  
Cascading failure consists of complicated sequences of dependent failures and can cause large blackouts.  ...  The emerging risk analysis, simulation, and modeling of cascading blackouts are briefly surveyed, and key references are suggested.  ...  may lead one to look at remediation alternatives such as: retuning controller parameters or process reengineering to reduce delays or implementation of feed-forward control or attribute poor performance  ... 
doi:10.1007/978-1-4471-5102-9_264-1 fatcat:slhzrvsilfephprfzlkkccbyma

Cooperative Manipulators [chapter]

Fabrizio Caccavale
2015 Encyclopedia of Systems and Control  
Cascading failure consists of complicated sequences of dependent failures and can cause large blackouts.  ...  The emerging risk analysis, simulation, and modeling of cascading blackouts are briefly surveyed, and key references are suggested.  ...  may lead one to look at remediation alternatives such as: retuning controller parameters or process reengineering to reduce delays or implementation of feed-forward control or attribute poor performance  ... 
doi:10.1007/978-1-4471-5058-9_175 fatcat:gzo7xen4ynezhesyrpsldzj5bi

Learning to compress and search visual data in large-scale systems

Sohrab Ferdowsi, Svyatoslav Voloshynovskyy
2018
Feed-forward neural networks A prominent instance of the prior decomposition of Eq. 2.13 is the family of feed-forward neural networks.  ...  Residual networks As the number of layers increases, training of feed-forward networks becomes increasingly involved.  ...  Based on the two practical decoding schemes proposed for reconstruction of STC, its multi-layer extension was the ML-STC and the ML-STC-Procrustean.  ... 
doi:10.13097/archive-ouverte/unige:114990 fatcat:zww5hmmjm5hwrbrttf4irpfmd4

Chemical Vapor Deposition (CVD) [chapter]

Yoke Khin Yap, Dongyan Zhang
2016 Encyclopedia of Nanotechnology  
Synonyms Electrostatic RF MEMS switches; Micromechanical switches; RF MEMS switches Definition Capacitive micro-electro-mechanical systems (MEMS) switches are a special type of micromachined switches that  ...  their ultralow loss (<0.1-0.2 dB up to 40 GHz), high isolation (>20-50 dB for frequencies beyond 10 GHz), very high linearity (>66 dBm third-order intercept point), and nearzero power consumption ($tens of  ...  In this respect, the FPMD has represented a huge step forward.  ... 
doi:10.1007/978-94-017-9780-1_345 fatcat:hqqkocm2sne5jp32r7akdjceyi

Cell Micro-patterning [chapter]

2016 Encyclopedia of Nanotechnology  
Synonyms Electrostatic RF MEMS switches; Micromechanical switches; RF MEMS switches Definition Capacitive micro-electro-mechanical systems (MEMS) switches are a special type of micromachined switches that  ...  their ultralow loss (<0.1-0.2 dB up to 40 GHz), high isolation (>20-50 dB for frequencies beyond 10 GHz), very high linearity (>66 dBm third-order intercept point), and nearzero power consumption ($tens of  ...  In this respect, the FPMD has represented a huge step forward.  ... 
doi:10.1007/978-94-017-9780-1_100152 fatcat:msyahfwivvcxhol3nltwdi546e

Award Winners and Abstracts of the 30th Anniversary Symposium of The Protein Society, Baltimore, MD, July 16-19, 2016

2016 Protein Science  
While the KGDHc is a key enzyme in the Krebs cycle, it is also the major producer of reactive oxygen species (ROS) in the mitochondrion as well as a very sensitive target of ROS.  ...  Developing potent and specific inhibitors of the Grb7 breast cancer target using phosphotyrosine mimetics and bicyclic peptides 1 Department of Medical Biochemistry, Semmelweis University, Budapest, Hungary  ...  and the multi-layered local structure of active sites: Key features in natural and designed enzymes Timothy A.  ... 
doi:10.1002/pro.3026 pmid:27783432 pmcid:PMC5081090 fatcat:c4k7luvl4vczfpol76ycqo4nji

Control of Malaria Vector Mosquitoes by Insecticide-Treated Combinations of Window Screens and Eave Baffles

Gerry F. Killeen, John P. Masalu, Dingani Chinula, Emmanouil A. Fotakis, Deogratius R. Kavishe, David Malone, Fredros Okumu
2017 Emerging Infectious Diseases  
to: claudio.lazzari@univ-tours.fr Institut de Recherche sur la Biologie de l'Insecte, UMR CNRS -Université François Rabelais, Tours, France Acknowledgements We thank Jiannong Xu, Jewelna Osei-Poku, Anne  ...  step of this study.  ...  Such studies have played an invaluable role in improving malaria control and have, in turn, revealed another layer of complexity.  ... 
doi:10.3201/eid2305.160662 pmid:28418299 pmcid:PMC5403053 fatcat:vzcmomysebd5rnwvlimgx77d6m
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