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Quantitative Structure-Activity Relationship Analysis of the Anticonvulsant Activity of Some Benzylacetamides Based on Genetic Algorithm-Based Multiple Linear Regression

A Najafi, SS Ardakani, M Marjani
2011 Tropical Journal of Pharmaceutical Research  
Purpose: To develop the quantitative structure-activity relationship (QSAR) for predicting the anticonvulsant activity of α-substituted acetamido-N-benzylacetamide derivatives.  ...  The relevant molecular descriptors were selected by genetic algorithm-based multiple linear regression (GA-MLR) approach.  ...  Multiple linear regressions (MLR) were used to derive the QSAR equation and feature selection was performed by the use of genetic algorithm (GA).  ... 
doi:10.4314/tjpr.v10i4.14 fatcat:uqshnklax5h65jmaa3mjsju3fi

Mapping single and multiple multilevel structures onto the hypercube

S.G. Ziavras
1993 IEE Proceedings E (Computers and Digital Techniques)  
The paper introduces algorithms that map single and multiple multilevel structures onto the hypercube.  ...  For the case of the pyramid, which is a special multilevel structure, it is shown that a new algorithm is a compromise among existing algorithms with regard to cost and performance.  ...  This paper proposes algorithms that map single and multiple multilevel structures onto the hypercube.  ... 
doi:10.1049/ip-e.1993.0017 fatcat:wlvexvbwizc4xn5osuwisv4mv4

Simplified Deployment of Robust Real-Time Systems Using Multiple Model and Process Characteristic Architecture-Based Process Solutions [chapter]

Ciprian Lupu
2011 Recent Advances in Robust Control - Novel Approaches and Design Methods  
(or active algorithm).  ...  The main idea is that, during the current functioning of multiple-models control systems with N model-algorithm pairs, it is supposed that just one single algorithm is to be maintained active, the good  ...  InTech Europe Robust control has been a topic of active research in the last three decades culminating in H_2/H_\infty and \mu design methods followed by research on parametric robustness, initially motivated  ... 
doi:10.5772/16835 fatcat:htxf6antvfgmjgkk5zz6mvm574

FMCS: a novel algorithm for the multiple MCS problem

Andrew Dalke, Janna Hastings
2013 Journal of Cheminformatics  
The maximum common structure (MCS) for a group of compounds is an important element of such classification, providing insight into activity patterns and enabling scaffold alignment for a more consistent  ...  We present fmcs, which implements a novel multiple MCS algorithm based on subgraph enumeration and subgraph isomorphism testing [4, 5] and with algorithm improvements and heuristics which make it competitive  ...  The maximum common structure (MCS) for a group of compounds is an important element of such classification, providing insight into activity patterns and enabling scaffold alignment for a more consistent  ... 
doi:10.1186/1758-2946-5-s1-o6 pmcid:PMC3606201 fatcat:xx3p45wc7nf6hfpht5lgvfzdvu

Discriminative structural approaches for enzyme active-site prediction

Tsuyoshi Kato, Nozomi Nagano
2011 BMC Bioinformatics  
Results: This paper introduces new machine learning algorithms that refine the similarity/deviation for comparison of local structures.  ...  a set of templates in the multiple template analysis.  ...  Acknowledgement We thank Raissa Relator for fruitful discussion and proofreading of the manuscript. TK was supported by Global COE program 'Deciphering Biosphere from Genome Big Ban.'  ... 
doi:10.1186/1471-2105-12-s1-s49 pmid:21342581 pmcid:PMC3044306 fatcat:xqwkq6hirjholnktw4f6st3tsm

Community Analysis of Social Network in MMOG

Sheng PANG, Changjia CHEN
2010 International Journal of Communications, Network and System Sciences  
In the paper we proposed the incremental label propagation algorithm to search the cliques accurately and quickly. Then we analyzed community structure characteristics on multi-activities.  ...  It's shown that the existing guild organization cannot satisfy the requirements of multi-activities in MMOG, which motivates us to devise new community communication channels and platforms in future.  ...  of multiple activities in the World of Warcraft (WoW).  ... 
doi:10.4236/ijcns.2010.32020 fatcat:dqqresispfef3jjeuvoqu62dka

A Survey on Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data

Priyanka K. Kendre
2020 International Journal for Research in Applied Science and Engineering Technology  
Labeling of information is used in the multiple-output regression for developing information.  ...  In this way online multiple-output regression uses the techniques of machine learning system for modeling correlated data stream and predicting multidimensional related data stream and it always provides  ...  This method uses the structure of the regression coefficients to model continuous refinement. It also learns and uses the structure of the remaining errors to upgrade the prediction accuracy.  ... 
doi:10.22214/ijraset.2020.5427 fatcat:7hgozu4wbjey7nfxv3mf4j4qju

A Distributed Workflow Mapping Method Oriented Homogeneous Activity

Fei Yang, Yinzhou Zhu
2016 International Journal of Grid and Distributed Computing  
The algorithm provides a complete set of virtual mapping mechanism to solve it effectively focusing on the problem of the topological relationship of redundant activities difficult to describe in the dynamic  ...  A workflow model mapping algorithm oriented homogeneous activity is proposed which can generate independent basic workflow fragments for homogeneous activities of different configuration modes using different  ...  Figure. 1 Mapping Description of Manual Multi-Selection Synchronous Merge Mode Mapping of Manual Multiple Selection Synchronous Merge Mode Dynamic Structure mode of homogeneous activity usually relies  ... 
doi:10.14257/ijgdc.2016.9.3.12 fatcat:mxgneamvtfc6hguyvgwxyoquj4

Unsupervised Discovery of Structure in Activity Data Using Multiple Eigenspaces [chapter]

Tâm Huỳnh, Bernt Schiele
2006 Lecture Notes in Computer Science  
In this paper we propose a novel scheme for unsupervised detection of structure in activity data.  ...  Our method is based upon an algorithm that represents data in terms of multiple low-dimensional eigenspaces.  ...  This paper proposes and shows that the concept of multiple eigenspaces can be used to detect and represent structure such as individual activities in accelerometer data.  ... 
doi:10.1007/11752967_11 fatcat:jrmbs7nbcrdetcc3ehqaasp434

Influence of network topology and data collection on network inference

V Anne Smith, Erich D Jarvis, Alexander J Hartemink
2003 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
NETWORKINFERENCE performed well at recovering feedback loops and multiple targets of a regulator with small amounts of data, but required more data to recover multiple regulators of a gene.  ...  We recently developed an approach for testing the accuracy of network inference algorithms by applying them to biologically realistic simulations with known network topology.  ...  A failure to infer the structure in this situation could be due to the lack of dynamics in the system, and not lack of ability of the algorithm to find the structure.  ... 
pmid:12603026 fatcat:oiizxsdu2re3jpnvghswwn6tya

Automatic algorithm transformation for efficient multi-snapshot analytics on temporal graphs

Manuel Then, Timo Kersten, Stephan Günnemann, Alfons Kemper, Thomas Neumann
2017 Proceedings of the VLDB Endowment  
We present Single Algorithm Multiple Snapshots (SAMS), a novel approach to execute algorithms concurrently for multiple graph snapshots.  ...  For this purpose, algorithms must be executed for multiple graph snapshots.  ...  Graph-synchronous execution leverages the structure of interleaved algorithms and ensures that all active program instances process the same graph element.  ... 
doi:10.14778/3090163.3090166 fatcat:oegznfd75va2pjad4dfedmbpxa

Modified CMOS Multiplication Algorithm Using Optimized Array Structure

P. Assadee
2009 Journal of Computers  
This work, presents a novel approach to reduce power of high-speed multiplication algorithm based on decreasing number of inner products.  ...  The proposed array structure and Smith algorithm has major effect in multiplication algorithm performance. Previous designs have been used to present a novel structure.  ...  The mix multiplication algorithm structure using these parts will be proposed in the next section. This new structure decreases the critical path of array structures. III.  ... 
doi:10.4304/jcp.4.9.891-895 fatcat:tvw5ux2jynb6vma6vqguwsmpsq

Speeding up Multi-Isosurface Extraction based on Multi-Active Node Searching

Wei Zhang, Wenke Wang, Xiaoqian Zhu
2018 DEStech Transactions on Computer Science and Engineering  
In this paper, we propose an acceleration algorithm of multi-isosurface extraction based on multi-active node searching, which can extract multiple isosurfaces simultaneously and efficiently.  ...  Based on improving the BONO extraction algorithm, our algorithm can significantly reduce the number of nodes to be accessed in the process of searching active nodes, and thus time cost can be reduced obviously  ...  ACKNOWLEDGEMENT The research was supported by Chinese 973 Program (2015CB755604) and the National Science Foundation of China (61202335).  ... 
doi:10.12783/dtcse/csae2017/17490 fatcat:vy4ge4jkvvfvdhz2oowxh7opb4

Neuronal Logic gates Realization using CSD algorithm

Lakshmi kiran Mukkara, K.Venkata Ramanaiah
2019 International Journal of Reconfigurable and Embedded Systems (IJRES)  
Neural network contains more number of addition and multiplication processes. It is known that CSD algorithm computes faster than conventional or standard multipliers.  ...  It is observed that CSD algorithm provides lowest delay and low power consumption in comparison with vedic algorithm and conventional method but at the expense of minimum area.</p>  ...  This can be called as Vedic Neuron structure as vedic algorithm is applied in the multiplier block. Vedic algorithm contains "UrdhvaTiryagbhyam" Mantra which improves the speed of multiplication.  ... 
doi:10.11591/ijres.v8.i2.pp145-150 fatcat:hko44tniavaftc33hiobsnde7a

Page 51 of Neural Computation Vol. 7, Issue 1 [page]

1995 Neural Computation  
for unsupervised learning of clusters reflecting multiple causal structure in binary data.  ...  Algorithms vary in the assumptions they make about the underlying structural characteristics of the data domain, and they vary therefore in the nature of the patterns that can be dis- covered.  ... 
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