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In a previous study, Zwick, Budescu and Wallsten (1988) found that the membership functions representing the subjective combinations of two independent linguistic probabilistie judgements could not be ... in computerized expert systems intended to represent and combine linguistic information. ... by the forecaster of the expert, and in such cases linguistic probabilities seem appropriate. ...doi:10.1016/s0020-7373(05)80068-9 fatcat:x2agbf6i6ze35lux2qvps6cwri
Text portions of clinical records are integrated into predictive models of dementia development in order to gain insights towards automated identification of patients who may benefit from providers' early ... Results support the potential power of linguistic records for predicting dementia status, both in the absence of, and in complement to, corresponding structured nonlinguistic data. ... Acknowledgement This study was supported by a Kodak Endowed Chair award form the Golisano College of Computing and Information Sciences at the Rochester Institute of Technology. ...doi:10.18653/v1/w16-0302 dblp:conf/naacl/BullardALYP16 fatcat:soszsrwztnhpbf5p5pycrlb2si
A new integrated model for simultaneous modeling of linguistic and acoustic models, and a training algorithm is proposed. ... Linguistic and acoustic model training are performed independently using different training data sets. Integrated model parameters were simultaneously optimized by the proposed training algorithm. ... INTEGRATION OF LINGUISTIC AND ACOUSTIC MODELS In this section, we define a new integrated model to optimize linguistic and acoustic models simultaneously. ...doi:10.1109/chinsl.2008.ecp.12 dblp:conf/iscslp/OuraNTTMSN08 fatcat:yd5tkhioefanxokl7pr7d4br6i
Merkle trees, AES and hash functions are considered to protect the integrity of environmental data. ... This work proposes the deployment of WSN to enhance the real-time monitoring of dynamic variables such as polluting gases, temperature or the presence of fire flames by infrared. ... Acknowledgements Research supported by the CDTI and the Ministry of Science, Innovation and Universities under Projects C2017/3-9, RTI2018-097263-B-I00 and TESIS2015010106. ...doi:10.1093/jigpal/jzaa036 fatcat:bep32ttwr5c7vafsl5mva2orxe
Lecture Notes in Computer Science
The language models proposed were evaluated, as usual, in terms of perplexity of the text corpus. Then they were integrated into an ASR system and also evaluated in terms of system performance. ... It can be seen that category-based language models can perform better, also in terms of WER, when categories are obtained through statistical models instead of using linguistic techniques. ... Alternative formalism s to interpolate and integrate models into the ASR system should also be explored. linguistic classes on the other hand PP without categories statistical clusterings linguistic classes ...doi:10.1007/11578079_58 fatcat:etksbknf4nculoand2rfsacwqy
Finally, optimal strategies and their probabilities are found. A military case study is presented for illustrating the application of proposed approach. ... This approach refers to evaluation of each objective, creation of decision payoff matrixes by using fuzzy logic mathematical applications and their transformation to final decision payoff matrix subsequently ... According to integration of objectives, 1 st strategy (defense in depth) is with 41.9% probability and 2 nd strategy (counter attack) with 58.1% probability are considered as optimal strategies. ...doi:10.1515/jms-2016-0190 fatcat:kpnb76xm3zf5xd5uwb7vbgowa4
Advances in Intelligent and Soft Computing
The proposed linguistic aggregation results in a set of labels having a probability distribution. ... The basic idea of this linguistic aggregation is to transform a possibility distribution into its associated probability distribution. ... And then based on the basic mass function, we can obtain the probability distribution on the linguistic labels as the aggregation result. ...doi:10.1007/978-3-642-11960-6_26 dblp:conf/ium/YanHN10 fatcat:3wetngt4s5cgxkayt5sfobt4ky
Journal of Abnormal Psychology
The correspondence is only rough, however, and many other factors besides the linguistic hierarchical statuses of the boundaries affect the transitional probabilities. ... These different ‘transitions’ will often be found to have different probabilities of occurrence. ...
Subsequently, with the help of the weight vector of the criterion set, the weighted integrated dominant decision matrix of the alternative set is built. ... Consequently, the weighted integrated dominant indices' sum of each alternative is calculated. Thus, the rank of the alternatives comes out. Finally, a numerical example is given. ... The weighted integrated dominant decision matrix is denoted by DDM = (DI 1 2 ) × ( 1 , 2 ∈ ), where DI 1 2 = ∑ =1 × DI 1 2 is the weighted integrated dominant index of 1 and 2 under the criterion set. ...doi:10.1155/2013/546508 fatcat:o7zbq2wjubejfdxk2v3e63kmwa
It not only serves as a foundation of linguistic control, but also integrating fuzziness and randomness in an inseparable way. ... A new mathematical representation of linguistic concepts is presented in this paper. ... Since the center of area of the integrals at the input temperature 2 .Figure 16 . 216 Given a specific temperature x, calculate all conditional probabilities for every linguistic term associated with ...doi:10.1016/s0898-1221(97)00282-4 fatcat:cujiyo2u5jfvxfdurn7grctloe
Acknowledgement This work was conducted at the Language Engineering Laboratory (LEL) in the Chinese University of Hong Kong (CUHK), with support from the Research Grants Council of Hong Kong. ... This article has also greatly benefited from the comments of its anonymous reviewers. ... Understanding Rate (UR) calculates the average percentage of integrated meanings that are understandable to each pair of agents in the community based on their linguistic knowledge only. ...doi:10.1080/09540090802091941 fatcat:45lrcyw2svaqlc4pc6f5qq6hda
Computational Linguistics Volume 21, Number 2 and successor states on the right. (3) The forward and inner probabilities of states are notated in brackets after each state, e.g., tX > A.Yu_ fa, is shorthand ... Rationale. a’ is the sum of all path probabilities leading up to ,X — A.Yyu, times the probability of choosing production Y — v. The value 7’ is just a special case of the definition. ...
Then, at probability calculation stage, response probability (RP), which represents location information of observations within acoustic feature space, is further incorporated into decoding. ... This paper proposes a novel decoding algorithm by integrating both steady speech segments and observations' location information into conventional path extension framework. ... In RP based decoding algorithm, P(q|O) is integrated into acoustic probability and linguistic probability. ...doi:10.1109/iscslp.2012.6423525 dblp:conf/iscslp/YangLC12 fatcat:xzdx442ly5f2de236eqbacdwqe
Lecture Notes in Computer Science
To this end, visual salience (objects perceived in the physical scene) and linguistic salience (previously referred-to objects within the current dialogue) are integrated into a single cross-modal salience ... The update is realised by continously adapting the word-class probabilities specified in the statistical language model. ... The first version of this paper appeared in  . ...doi:10.1007/978-3-642-14729-6_8 fatcat:escpbawsanccdlo24nqy6vlh6a
Crucially, in the allotone context, neural tracking of /ji-TR/ was more accurate relative to the contrastive context, despite both having an identical transitional probability (p = 0.34). ... of speech encoding. ... Interactive effects of linguistic abstraction and stimulus statistics Importantly, our results reveal that besides stimulus statistics, integrity of FFRs also varies as a function of abstract linguistic ...doi:10.3758/s13414-018-1621-9 pmid:30565097 pmcid:PMC7293545 fatcat:lyxvo3h64nbfdd4raegue6bqti
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