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  • Computer Science  (24)
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  • Articles  (25)
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  • 1
    Electronic Resource
    Electronic Resource
    ON MODELING UNCERTAINTY WITH INTERVAL STRUCTURES (1995)
    Oxford, UK : Blackwell Publishing Ltd
    Computational intelligence 11 (1995), S. 0 
    Details
    ISSN: 1467-8640
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: In this paper, we introduce the notion of interval structures in an attempt to establish a unified framework for representing uncertain information. Two views are suggested for the interpretation of an interval structure. A typical example using the compatibility view is the rough set model in which the lower and upper approximations form an interval structure. Incidence calculus adopts the allocation view in which an interval structure is defined by the tightest lower and upper incidence bounds. The relationship between interval structures and interval-based numeric belief and plausibility functions is also examined. As an application of the proposed model, an algorithm is developed for computing the tightest incidence bounds.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1467-8640.1995.tb00041.x
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    QUANTIFICATION OF UNCERTAINTY IN CLASSIFICATION RULES DISCOVERED FROM DATABASES (1995)
    Oxford, UK : Blackwell Publishing Ltd
    Computational intelligence 11 (1995), S. 0 
    Details
    ISSN: 1467-8640
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: We apply rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose appropriate attributes, for the construction of data classification rules. Error probabilities for the resultant rule are derived. A classification rule can be further generalized using concept hierarchies. The condition for preventing overgeneralization is derived. Moreover, given a constraint, an algorithm for generating a rule with minimal error probability is proposed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1467-8640.1995.tb00042.x
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  • 3
    Electronic Resource
    Electronic Resource
    On ‘An Interview with Chinese Anthropologists‘ (1974)
    Cambridge : Cambridge University Press
    The @China quarterly 60 (1974), S. 775-790 
    Details
    ISSN: 0305-7410
    Source: Cambridge Journals Digital Archives
    Topics: Linguistics and Literary Studies , History , Political Science , Sociology , Economics
    Notes: During March and April 1972 members of the Second Friendship Delegation of the Committee of Concerned Asian Scholars visited the People's Republic of China and met Fei Hsiao-t'ung, Wu Wen-tsao and Lin Yüeh-hwa, scholars well known in western sociological and anthropological circles, and who are at present affiliated to the Central National Minorities Institute, Peking. In October 1973 an article by Gene Cooper appeared in Current Anthropology, consisting of a transcript of Fei's remarks to the delegation, a summary of the ensuing discussion, and a translation of the reply written by Fei, Wu and Lin on 11 October 1972 in response to Cooper's sending them a draft copy of the interview report.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1017/S0305741000025777
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  • 4
    Electronic Resource
    Electronic Resource
    On the completeness of incidence calculus (1996)
    Springer
    Journal of automated reasoning 16 (1996), S. 355-368 
    Details
    ISSN: 1573-0670
    Keywords: 68T15 ; 03B05 ; automatic theorem proving ; complete axiomatization ; incidence calculus ; inference rules ; propositional logic ; uncertain reasoning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Incidence calculus is a mechanism for uncertain reasoning originally introduced by Bundy. He suggested a set of inference rules for deriving new incidence bounds from a given set of lower and upper bounds of some propositions. However, it is important to demonstrate that the inference axioms are complete in any axiomatization. It is proved in this paper that inference rules used by Bundy are indeed complete.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00252181
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  • 5
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    ON MODELING UNCERTAINTY WITH INTERVAL STRUCTURES (1995)
    Wiley
    Details
    Publication Date: 1995-05-01
    Print ISSN: 0824-7935
    Electronic ISSN: 1467-8640
    Topics: Computer Science
    Published by Wiley
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  • 6
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    Conformational sampling and structure prediction of multiple interacting loops in soluble and {beta}-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo method (2015)
    Oxford University Press
    Details
    Publication Date: 2015-08-08
    Description: Motivation: Loops in proteins are often involved in biochemical functions. Their irregularity and flexibility make experimental structure determination and computational modeling challenging. Most current loop modeling methods focus on modeling single loops. In protein structure prediction, multiple loops often need to be modeled simultaneously. As interactions among loops in spatial proximity can be rather complex, sampling the conformations of multiple interacting loops is a challenging task. Results: In this study, we report a new method called m ulti-loop Di stance-guided S equential chain- Gro wth Monte Carlo ( M -D i SG ro ) for prediction of the conformations of multiple interacting loops in proteins. Our method achieves an average RMSD of 1.93 Å for lowest energy conformations of 36 pairs of interacting protein loops with the total length ranging from 12 to 24 residues. We further constructed a data set containing proteins with 2, 3 and 4 interacting loops. For the most challenging target proteins with four loops, the average RMSD of the lowest energy conformations is 2.35 Å. Our method is also tested for predicting multiple loops in β-barrel membrane proteins. For outer-membrane protein G, the lowest energy conformation has a RMSD of 2.62 Å for the three extracellular interacting loops with a total length of 34 residues (12, 12 and 10 residues in each loop). Availability and implementation : The software is freely available at: tanto.bioe.uic.edu/m-DiSGro. Contact: jinfeng@stat.fsu.edu or jliang@uic.edu Supplementary information : Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 7
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    The liquid crystal light valve, an optical-to-optical interface device (1973)
    Elsevier
    Details
    Publication Date: 1973-03-01
    Print ISSN: 0031-3203
    Electronic ISSN: 1873-5142
    Topics: Computer Science
    Published by Elsevier
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  • 8
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    DrugMap Central: an on-line query and visualization tool to facilitate drug repositioning studies (2013)
    Oxford University Press
    Details
    Publication Date: 2013-07-06
    Description: : Systematic studies of drug repositioning require the integration of multi-level drug data, including basic chemical information (such as SMILES), drug targets, target-related signaling pathways, clinical trial information and Food and Drug Administration (FDA)-approval information, to predict new potential indications of existing drugs. Currently available databases, however, lack query support for multi-level drug information and thus are not designed to support drug repositioning studies. DrugMap Central (DMC), an online tool, is developed to help fill the gap. DMC enables the users to integrate, query, visualize, interrogate, and download multi-level data of known drugs or compounds quickly for drug repositioning studies all within one system. Availability : DMC is accessible at http://r2d2drug.org/DMC.aspx . Contact : STWong@tmhs.org
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 9
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    DrugComboRanker: drug combination discovery based on target network analysis (2014)
    Oxford University Press
    Details
    Publication Date: 2014-06-17
    Description: Motivation: Currently there are no curative anticancer drugs, and drug resistance is often acquired after drug treatment. One of the reasons is that cancers are complex diseases, regulated by multiple signaling pathways and cross talks among the pathways. It is expected that drug combinations can reduce drug resistance and improve patients’ outcomes. In clinical practice, the ideal and feasible drug combinations are combinations of existing Food and Drug Administration-approved drugs or bioactive compounds that are already used on patients or have entered clinical trials and passed safety tests. These drug combinations could directly be used on patients with less concern of toxic effects. However, there is so far no effective computational approach to search effective drug combinations from the enormous number of possibilities. Results: In this study, we propose a novel systematic computational tool DrugComboRanker to prioritize synergistic drug combinations and uncover their mechanisms of action. We first build a drug functional network based on their genomic profiles, and partition the network into numerous drug network communities by using a Bayesian non-negative matrix factorization approach. As drugs within overlapping community share common mechanisms of action, we next uncover potential targets of drugs by applying a recommendation system on drug communities. We meanwhile build disease-specific signaling networks based on patients’ genomic profiles and interactome data. We then identify drug combinations by searching drugs whose targets are enriched in the complementary signaling modules of the disease signaling network. The novel method was evaluated on lung adenocarcinoma and endocrine receptor positive breast cancer, and compared with other drug combination approaches. These case studies discovered a set of effective drug combinations top ranked in our prediction list, and mapped the drug targets on the disease signaling network to highlight the mechanisms of action of the drug combinations. Availability and implementation: The program is available on request. Contact: stwong@tmhs.org
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 10
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    3D object model reconstruction from image sequence based on photometric consistency in volume space (2009)
    Springer
    Details
    Publication Date: 2009-11-13
    Print ISSN: 1433-7541
    Electronic ISSN: 1433-755X
    Topics: Computer Science
    Published by Springer
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