... sequential labeling problem discriminative probabilistic latent variablemodel (DPLVM) in which non-local information is modeled by latent variables We manually encode nonlocal information into the ... natural extension of the CRF model (see Figure 2), which is a special case of the DPLVM, with only one latent variable assigned for each label The DPLVM uses latent variables to capture additional ... the parameters of the model To ensure that the training and inference are efficient, the model is often restricted to have disjointed sets of latent variables associated with each label (Morency...
... pressure with crank angle for B20% SME 5.2 Zonal combustion temperature Figure explains the comparison between combustion zone temperature with crank angle for diesel and biodiesel with respect ... Total heat transfer The Woschni heat transfer model was used to predict the engine heat transfer The variation of the engine heat transfer rate withvariable compression ratio is shown in Figure ... Conclusion A mathematical model was developed using a Quick basic computer program for analyzing the combustion and performance characteristics in DI diesel engine withvariable compression ratio...
... wire PWM voltage so aic with M ource inverte er Since the po ower generat by an arr of PV pa ted ray anels is direc ct-current, it may be transformed, eith her into a power with consta voltage for ... with unba e er alanced load d (Ru= v=20Ω ,Rw=2000Ω ) a uncontro =R and olled DC lin voltage nk Figure sho the simu F ows ulation result of the dea beat contro for unbala ts ad ol anced load with ... ystem illustra ated in figure is to supply th as well as single ph i s hree hase loads of any art with constant am f h mplitude sinusoidal voltage and constant freq c quency For t propose the neutral...
... achieve performance competitive with, or even superior to, that of B&L’s model without knowing the true coherence score given by human judges Evaluating our multiple-rank model in this task is crucial, ... resulting noise is reduced, and our model outperforms theirs And for dataset Accidents, our model consistently outperforms the baseline model by a large margin (with significance test at p < 01) ... clearly for both models, performance on full test is inferior to that on same-cluster test, but our model is still able to achieve performance competitive with the standard model, even if our...
... σKt dZt Reduced Form with One State Variable Next, we consider three special cases in which the general two-state -variable model reduces to our baseline modelwith one state variable The first case ... start with the first-best efficient benchmark outcome that would emerge in an economy without frictions In absence of any frictions the social planner’s solution coincides with the market outcome With ... baseline model The minimal fraction of equity that gives the entrepreneurs incentives to refrain from benefit extraction is ϕe ≥ ϕ = Ξ(0) ˜ t Third, the model also collapses to a one-state variable model...
... parameters 4864 20D model lumping & fitting 20L8D model elimination of variables elimination of variables 20E6D model 20LE3D model Fig Overview of the model reductions The 20D model is the model described ... Table lists the 5D and 6D models with complex eigenvalues None of the models with a lower dimension has complex eigenvalues The only modelwith complex eigenvalues with positive real parts, and ... elimination of nonessential variables Starting with the 20D model [30] (Fig 2), we use LASCO to arrive at the 20L8D model, and ENVA to arrive at the 20E6D model The 20L8D model was further reduced...
... redemptions of Shares dealt with by the sub-fund on such a Dealing Day must be made in accordance with this second valuation The Net Asset Value per Share of each Class within each sub-fund is determined ... agreement with the Management Company which may be terminated by both parties in accordance with the provisions of the agreement In such capacity the Administration Agent provides the Company with ... payment will, subject to the next paragraph below, be subject to withholding tax at the rate indicated below No withholding tax will be withheld by the Luxembourg paying agent if the relevant individual...
... Hyperspace Analog to Language (HAL) model (Burgess et al., 1998; Bai et al., 2005), and a cascaded induction process (CIP) The HAL model, which is a cognitive motivated model, provides an informative ... the HAL model Iteration=0 k +1 Stop Yes ago I lost my parents 0 0 0 years 0 0 0 ago 0 0 I 0 0 Psychiatry Web Corpora lost 0 Relevant Patterns my 0 parents HAL model Figure Framework for variable- length ... window of length l over the corpus All words within the window are considered as co-occurring with each other Thus, for any two words of distance d within the window, the weight between them is...
... Pseudo-Negative samples We propose a novel discriminative language model; a Discriminative Language Modelwith PseudoNegative samples (DLM-PN) In this model, pseudo-negative examples, which are all assumed ... achieves high performance with very few features We then examined the effect of PKI Table shows the results of the classier with rd order polynomial kernel both with and without PKI In this experiment, ... sentences Another interesting idea is to work with probabilistic language models directly without sampling and nd ways to construct a more accurate discriminative model Michael I Jordan David M Blei,...
... toolkit (Carletta et al., 2003) defines a data model that is close to our model, although it allows to express hierarchical relations explicitly The model supports a labelled pointer relation which ... Operators The whole point of querying corpora with multilevel annotation is to relate markables from different levels to each other The reference system with respect to which the relation between ... closed set of possible values The data model also supports associative relations between markables: Markable set relations associate arbitrarily many markables with each other in a transitive, undirected...
... verb, as observed variables These variables are assumed to be independent given a hidden variable c, the sense of the target verb Therefore the joint probability of the observed variables (features) ... uses them as new features Table shows the model s performance on the three verbs with or without using lexical sets As we see, lexical sets improves the model s performance on all of them, especially ... instance, the model calculates the same conditional probability as in equation (3) and assigns the instance to the cluster with the maximal p(c | f1 , f , , f m ) Features Used in the Model The...
... complex syntactic features, they obtained an adjacent accuracy of 52% with a PO model, and 45% with a MLR model However, they worked with 12 levels, which may explain their lower percentage For French, ... form with its lemma Such a view seems highly questionable for the majority of regular forms In order to settle this issue, we trained three language models: one with lemmas (LM1), another with ... to their tags (LM2), and a third one with inflected forms (LM3) The experiment was not very conclusive, since the models all correlated with the dependent variable to a similar extent, having...
... test data with respect to the tree A comparison with the perplexity of a standard back-off trigram model will indicate which model performs better Although decision-tree letter language models are ... well as interpolation with a standard trigram model eliminates the zero probabilities 2.2 T h e Hierarchical Classification of Words The goal is to build a binary tree with the words of the vocabulary ... can be initialized with classes based on parts of speech or meaning, thus taking account of prior expert information The approach is to construct the tree backwards Starting with single-word classes,...
... translation model is implemented as an N-gram model of operations using SRILM-Toolkit (Stolcke, 2002) with Kneser-Ney smoothing We use a 9-gram model (m = 8) Integrating the language model the ... n-gram models: J px (E) ≈ p(wj |wj−m+1 , , wj−1 ) j=1 where m = (5-gram model) for the standard monolingual model (x = LM ) and m = (same as the operation model5 ) for the prior probability model ... is 1049 where pLM (E) is the monolingual language model and p(F, E) is the translation model But our translation model is a joint probability model, because of which E is generated twice in the...
... incubation with chymotrypsin though its cleavage sites are distributed all over CI (not shown) Further analysis showed that only fragments d and e of mins digestion products reacted with anti-his ... products reacted with anti-his antibody along with the intact repressor (Fig 1C) No other fragments derived from and 30 mins digestions interacted with anti-his antibody Sequence of the first ... range of ~23 to ~15 kDa were generated with trypsin at early period of digestion (Fig 1B) All these fragments except one (designated h) disappeared gradually with the longer time of digestion Intensity...
... receptor binding, k2 with displacement from the receptor, k3 with cellular internalisation, and k4 with externalisation Besides the compartmental analysis, a non-compartmental model based on the ... supplemented with mmol/L glutamine and 10% fetal calf serum Adherent cells were dislodged with trypsin/ethylenediaminetetraacetic acid (0.02%: 0.05%, w/v) For PET-studies, × 106 cells in 200 µl RPMI without ... obtained with a image-derived measured blood input function, which illustrates the good statistical quality of the data and model fit using nonlinear regression and two-tissue-compartment model...
... incubation with chymotrypsin though its cleavage sites are distributed all over CI (not shown) Further analysis showed that only fragments d and e of mins digestion products reacted with anti-his ... products reacted with anti-his antibody along with the intact repressor (Fig 1C) No other fragments derived from and 30 mins digestions interacted with anti-his antibody Sequence of the first ... range of ~23 to ~15 kDa were generated with trypsin at early period of digestion (Fig 1B) All these fragments except one (designated h) disappeared gradually with the longer time of digestion Intensity...
... experiments, germinal vesicle (GV) oocytes were manually denuded with a glass pipette, pooled, and divided into DMEM with 10% FBS with or without insulin and/or varying concentrations of metformin ... and ovulation in mouse models which demonstrate metabolic and reproductive characteristics of women with PCOS We utilized two different leptin mutant mouse strains Both models, B6.Cg-m+/+ Lepob/J ... animal models Previous data in the bovine model have demonstrated that metformin results in inhibition of maturation of denuded (DO) and non denuded oocytes A similar effect was seen with a specific...
... was to model the net cost of such a strategy, using data from a large public sector treatment facility in Johannesburg Methods Model We developed a state-transition decision (Markov) model to ... 2004 to 2010 [4] These guidelines were used because all model parameters are based on patient data accrued prior to 2010 The decision model, which was programmed in TreeAge Pro 2009 (TreeAge ... MA), is illustrated in Figure A hypothetical cohort of patients move through the model in six-month cycles, beginning with first-line ART initiation and continuing for a total of five years of follow...