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Machine learning approach in pharmacokinetics and toxicity prediction

Báo cáo khoa học:

Báo cáo khoa học: "A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D Scenes" docx

... English and Li et al (2004) for Chinese Annotating Texts with Temporal Information Several schemes have been proposed to annotate temporal information in texts, see Setzer and Gaizauskas (2002), inter ... developments in temporal information extraction In Nicolas Nicolov and Ruslan Mitkov, editors, Proceedings of RANLP’03 John Benjamins John Ross Quinlan 1993 C4.5: Programs for Machine Learning Morgan ... a small domain ontology and inserts them into the template We use the event relations resulting from temporal information extraction module to order them For all pairs of events in the template,...
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Prediction of novel biochemical class disease related proteins and microRNAs by machine learning approach

Prediction of novel biochemical class disease related proteins and microRNAs by machine learning approach

... 4.1.2 Prediction performance for antimicrobial proteins 68 Prediction of novel biochemical class, disease related proteins and microRNAs by machine learning approach III 4.1.3 Prediction of novel ... characterization of MFEs Prediction of novel biochemical class, disease related proteins and microRNAs by machine learning approach V Another objective of this work is to identify disease related proteins ... respectively 67 Prediction of novel biochemical class, disease related proteins and microRNAs by machine learning approach VIII Table 4-3 Statistics of prediction accuracy of antimicrobial proteins...
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Báo cáo khoa học:

Báo cáo khoa học: "A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue" docx

... the input to her algorithm to be only referential pronouns This simplifies the task considerably Conclusions and Future Work We presented a machine learning approach to pronoun resolution in spoken ... Computational Linguistics, Philadelphia, Penn., 7–12 July 2002, pp 352–359 Ng, Vincent & Claire Cardie (2002) Improving machine learning approaches to coreference resolution In Proceedings of the ... baseline features Then we train models combining the baseline with all additional features separately We choose the best performing feature (fmeasure according to Vilain et al (1995)), adding it to...
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Báo cáo khoa học:

Báo cáo khoa học: "A Machine Learning Approach to German Pronoun Resolution" docx

... reported F-measure for pronoun resolution is 81.5 However, (Morton, 2000) only attempts to resolve singular pronouns, and there is no mention of what percentage of total pronouns are covered by ... recogniser for German, we were able to obtain the system submitted by (Curran and Clark, 2003) to the 2003 CoNLL competition In order to run the recogniser, the data needs to be tokenised, tagged ... For pronouns, the reported results are 74.6 and 57.8, respectively The experiment presented in (Strube et al., 2002) is one of the few dealing with the application of machine learning to German...
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Báo cáo khoa học:

Báo cáo khoa học: "A machine-learning approach to the identification of WH gaps" doc

... Illustration of the path a classifier must trace in order to identify the location of the gap from Figure At the top level, it must choose to recurse into the SQ node, and at the second level, into the ... downward from there, eventually predicting the location of the gap At each node we encounter, the classifier chooses either to recurse into one of the child nodes, or to predict the existence of a gap ... within the VP subtree it should predict the location of the gap as the last child of the parent VP SBARQ - begin at the first branching node dominating the WH operator, and train a classifier to...
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Báo cáo khoa học:

Báo cáo khoa học: "A machine learning approach to the automatic evaluation of machine translation" potx

... using the human reference translations and the output of the MT system at a given point in time Using the same set of features, we expect the accuracy of the classifiers to go down over time as the ... sampling the initial datasets Thanks also to John Platt for helpful discussion on parameter setting for the SVM tools, and to the members of the MSR NLP group for feedback on the uses of the methodology ... template, i.e the labels of the immediate children of the root node of a sentence, was also used, as was subject-verb disagreement The final five features are: number of OOV words the presence of a word...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article A Machine Learning Approach for Locating Acoustic Emission" pdf

... note that the SVMs trained with 256dimensional raw AE data had quite poor performance, where the AUC was 0.39 and 0.31 for datasets SR1 and SR2 We also examined the performance of a combination ... variance (a) (b) Figure 10: The training classification performance of different feature sets on the dataset SR1 (a) and SR2 (b) The best performance was obtained with WP approach The performance ... that the classifier can generalize similar specimens This may provide great advantage in the deployment of the system in real-life applications After calculating the arrival information for each...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article A Cross-Layer Approach in Sensing and Resource Allocation for Multimedia Transmission over Cognitive UWB Networks" docx

... the sensing and data transmission in accordance with the PRR based time slot allocation, while the PHY layer performs adaptive modulation and coding to allow data transmission rate adaptation At ... action can be taken Sensing information can be a consideration for QoS requirements especially in multimedia application as it can assist C -UWB to dynamically allocate appropriate resources in ... MAC Dynamics of queue due to packet arrival Queue status and time slot allocation PRR based resource allocation and packet scheduling SNR and sensing time Adaptive modulation and channel coding...
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Development and application of computational methods and tools for adverse drug reaction and toxicity prediction

Development and application of computational methods and tools for adverse drug reaction and toxicity prediction

... develop and apply computational methods and tools for ADR and toxicity prediction The methods developed in this work are potentially useful for development and application of QSAR models as well ... complex, time consuming and resource intensive Toxicity is one of the primary reasons for the failure of drug candidates in later stages of drug development Moreover, adverse drug reaction (ADR) during ... drug development and safety assessment 1.2 QSAR studies for ADR and toxicity prediction To deliver promising drug candidates to reach the late stage of drug development with a higher chance of...
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(1) how learners approach learning, both in and out of classrooms, and (2) the kinds of strategies and cognitive processing they use in second language acquisition

(1) how learners approach learning, both in and out of classrooms, and (2) the kinds of strategies and cognitive processing they use in second language acquisition

... learning problem Learners are generally aware of the strategies they use and can identify what they consist of if they are asked to pay attention to what they are doing/ thinking Strategies involve ... for the significance of language learning strategies in language teaching Firstly, by examining the strategies used by second language learners during the language learning process, educators and ... powerful impact of learning strategies on the learning and teaching of foreign and second language Good choice and use of learning strategies would help learners become more independent and autonomous...
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Báo cáo khoa học: Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells potx

Báo cáo khoa học: Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells potx

... hypothesis-driven science in the postgenomic era Bioessays 26, 99105 17 Kell DB (2005) Metabolomics, machine learning and modelling: towards an understanding of the language of cells Biochem Soc Trans 33, 520524 ... models and reality on one hand and between changes in the model that are invoked and its subsequent dynamic behaviour, leading to an understanding of how events at one level (e.g the enzymatic) can ... Metabolomics, modelling and machine learning systems D B Kell sciences, engineering, mathematics and computer science One solution, that we are adopting in the Manchester Interdisciplinary...
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