... is taken is one which dynamically links inhibitor and drug models using whole-body physiologically- basedpharmacokineticmodels (WB -PBPK) to quantify, under any administration time and dose regimen, ... nature of these models limits their flexibility, dynamically interacting WB -PBPK models were seen as the method of choice for understanding how drug-drug interactions affect pharmacokinetic profiles ... WB -PBPK models for MDZ, 1OH-MDZ and 1OHMDZ-Glu PK-Sim® is a commercially available software tool for WB -PBPK modeling of drugs in laboratory animals and humans It uses validated physiological models...
... range of application is limited [5] In contrast, whole body physiologicallybased pharmacokinetic (WBPBPK) models for simulating human pharmacokinetics [6] enable the time-course of the tissue concentrations ... develop a WBPBPK model based on a simple concept that is easy to implement WBPBPK models have been much investigated They exhibit comparatively satisfactory precision in predicting human pharmacokinetics ... physiological models for pharmaceutical drug candidate selection and extrapolation of pharmacokinetics to man Basic Clin Pharmacol Toxicol 2005, 96:193-199 23 24 25 26 27 Reddy MB: PhysiologicallyBased Pharmacokinetic...
... required to better characterize drug pharmacokinetics and pharmacodynamics Among pharmacokinetic modeling approaches, the physiologicallybasedpharmacokinetic (PBPK) approach is now progressively ... Whole Body PharmacokineticModels Clin Pharmacokinet 2003, 42:883–908 Luttringer O, Theil F, Poulin P, Schmitt-Hoffmann A, Guentert T and Lave T: PhysiologicallyBasedPharmacokinetic (PBPK) Modeling ... 41 42 43 44 45 Poulin P and Theil F: Prediction of Pharmacokinetics prior to in Vivo Studies II Generic PhysiologicallyBasedPharmacokineticModels of Drug Disposition J Pharm Sci 2002, 91:1358–1370...
... Dependency language model Language models play a very important role for statistical machine translation (SMT) The standard Ngram based language model predicts the next word based on the N −1 immediate ... TYPE, h word, ch word > Table 1: DLM -based feature templates in which we add the DLM -based features in the decoding algorithm directly 4.1 Rescoring We add the DLM -based features into the decoding ... where DLM refers to adding the DLM -based features to the Baselines The parsers using the DLM -based features consistently outperformed the Baselines For the basic models (MST1/2), we obtained absolute...
... (Och, 2002) 5.3 Phrase -Based Error Model Features To use the phrase -based error model for spelling correction, we derive five features and integrate them into the ranker -based query speller system, ... Summary of spelling correction results phrase -based error models with a maximum bi-phrase length of # System Accuracy Precision Recall In phrase based error model, L is the maxi5 Phrase model ... derived challenge to any speller system that is based on a respectively from the language model and the dictionary error model models The error model is based on This paper extends the recent research...
... in PBPKmodels of humans Crit Rev Toxicol 2003, 33(5):469-503 Thompson CM, Johns DO, Sonawane B, Barton HA, Hattis D, Tardif R, Krishnan K: Database for physiologicallybasedpharmacokinetic (PBPK) ... human physiologicallybasedpharmacokinetic (PBPK) model for inorganic arsenic and its mono- and di-methylated metabolites J Pharmacokinet Pharmacodyn 2007, 35:31-68 42 Lee E: A physiologicallybased ... O'Flaherty EJ: Physiologicallybasedmodels for bone-seeking elements IV Kinetics of lead disposition in humans Toxicol Appl Pharmacol 1993, 118:16-29 48 O'Flaherty EJ: Physiologicallybasedmodels for...
... ASYMPTOTICS OF ADAPTIVE DESIGNS BASED ON URN MODELS Yan Xiu-yuan (Bachelor of Economics, Renmin University of China) A THESIS SUBMITTED ... Some of the researchers concentrate on inferences based on the data obtained from the trials Wei (1988) described an exact permutation test based on some real life data obtained from a trial ... scheme for continuous outcomes based on a linear rank CHAPTER PRELIMINARIES 10 statistic The proposed statistic can test for treatment effect using a permutation approach Based on the RPW rule, some...
... structured data models to develop the clinical decision model will also ease the reuse and exchange of decision models among different groups of users In addition, many guideline -based decision models ... Architecture Based on the observations and analysis in Chapter and Chapter 3, we present a new practical methodology to build decision models automatically from the knowledgebased GLIF guideline models ... problem with the information extracted from the knowledge base Rule -based references are widely used in many guideline -based decision models We incorporate expected values computed from a decision-theoretic...
... Overview of common accounting -based bankruptcy prediction models (based on own assessment) 18 Table 2: Overview of market -based bankruptcy prediction models (based on own assessment) ... prediction models In exiting literature, there are two major groups of models for evaluating bankruptcy: accounting -based bankruptcy prediction models and market -based bankruptcy prediction models ... Market -based bankruptcy prediction models The second stream of prediction models focuses on market based variables According to Agarwal et al (2007) market -based bankruptcy prediction models...
... LMs Syntactic language models have also been explored with tree -based translation models Charniak et al (2003) use syntactic language models to rescore the output of a tree -based translation system ... pairs (Baker et al., 2009) In contrast to the above tree -based translation models, our approach maintains a standard (non-syntactic) phrase -based translation model Instead, we incorporate syntax ... phrase -based (Koehn et al., 2003) nor hierarchical phrase -based translation (Chiang, 2005) take explicit advantage of the syntactic structure of either source or target language The translation models...
... available models This shows that FHMMs and other time-series models may be a valuable model to resolve anaphora Acknowledgments We would like to thank the authors and maintainers of ranker models ... emPronouns The FHMM -based pronoun resolution system does a better job than the global ranking technique and other approaches This is a promising start for this novel FHMM -based pronoun resolution ... FHMM -based pronoun resolution system Model Description This work is based on a graphical model framework called Factorial Hidden Markov Models (FHMMs) Unlike the more commonly known Hidden Markov Model...
... held-out data, The three theory -based discounts for each Ngram length proposed by Chen and Goodman, A novel set of three theory -based discounts for each N-gram length, based on GoodTuring discounting ... the best approach when language modelsbased on ordinary counts are desired Evaluation and Conclusions We trained and measured the perplexity of 4gram language models using English data from the ... interpolation models are constrained so that the discount parameters fully determine the interpolation parameters Thus the discount parameters have to correct for both types of error.5 The single theory-based...
... Phrase -based models ters to be solved: First, an output language model The usual statistical translation models can be is needed to distinguish valid sentences from inclassified as single-word based ... apparatus and method of using context -based translation models United States Patent, No 5510981, April F J Och 2002 Statistical Machine Translation: From Single-Word Models to Alignment Templates Ph.D ... sentence sJ and a mentioned restriction of single-word models is given prefix of the target sentence ti are given known as the template -based approach (Och, This prefix has been validated by the...
... in applying probabilistic models to natural language is deciding what aspects of the sentence and the discourse are relevant to the model Most previous probabilistic models of parsing assume the ... of these models come close to incorporating enough context to disambiguate many cases of ambiguity A significant reason researchers have limited the contextual information used by their models ... because of the difficulty in estimating very rich probabilistic models of context In this work, we present a model, the history -based grammar model, which incorporates a very rich model of context,...
... alignment does not improve the overall translation performance of a standard phrase -based SMT system Phrase -based models themselves have not benefited much from additional morpho-syntactic knowledge; ... and unknown words differently and propose a backoff model for phrasebased translation Backoff Models Generally speaking, backoff models exploit relationships between more general and more specific ... al., 2005), where knowledge -based morphological techniques are used to identify unseen verb forms in the test text and to generate inflected forms in the target language based on annotated POS tags...
... topic models here To employ topic models, we treat RASCs as “documents”, items as “words”, and the final semantic classes as “topics” There are, however, several challenges in applying topic models ... have (accurate) hypernyms with them In this paper, we propose to use topic models to address the problem In some topic models, a document is modeled as a mixture of hidden topics The words of a ... Thus we expand the application scope of topic modeling Topic Models In this section we briefly introduce the two widely used topic models which are adopted in our paper Both of them model a document...
... statistical model helps alleviate the data sparseness problem Conditional Models We investigated the application of conditional models to SLU The problem is formulated as assigning a label l to each ... of conditional models is the ease with which they can incorporate overlapping and nonhomogeneous features This is consistent with the finding in the application of conditional models for POS ... are not aligned to the states in the shaded boxes The parameters in their corresponding n-gram models can be estimated with an EM algorithm that treats the alignments as hidden variables Semantic...
... features Based on these properties, we detect the dependencies in a sentence by analyzing it backwards (from right to left) In the past, such a backward algorithm has been used with rule -based parsers ... of training data and the parsing accuracy (beam breadth k=l) models and a boosting method It is difficult to directly compare these models with ours because they use a different corpus, the EDR ... selection However, it may be interesting to compare these models in terms of the number of training data, as we can imagine that some models are better at coping with the data sparseness problem...