gaussian mixture model based classifier

... restricted maximum likelihood (REML) for mixture models The final section suggests possible extensions Mixture models with random effects FINITE MIXTURE MODELS: OVERVIEW Suppose that a random variable ... t-distribution [9], or skewed -Gaussian distributions can be used in mixture models without much difficulty Bayesian Markov chain Monte Carlo procedures allow all these extensions A mixture model may be even ... Raftery A.E., Model selection and accounting for model uncertainty in graphical models using Occam’s window, J Am Stat Assoc 89 (1994) 1535–1546 [27] McLachlan G., Peel D., Finite Mixture Models, John...

Ngày tải lên: 14/08/2014, 13:22

... ecological model is one of the most powerful tools to predict the long-term effects of biomanipulation Studies have tried to predict the effects of biomanipulation on the basis of lake ecological model ... these models, especially for the dynamics of zooplankton and fish, were estimated on the basis of a limited amount of data The problem that we have to consider next is to estimate these model ... of the model Arrows with solid line mean the flow of carbon, nitrogen and phosphorus Material or organism which was depicted in square with solid line means the state variable in the model And...

Ngày tải lên: 05/09/2013, 08:40

... [−1, 1] A Taylor model vector is a vector with Taylor model components When no ambiguity arises, we call a Taylor model vector simply a Taylor model Arithmetic operations for Taylor model vectors ... Taylor models differ slightly from the Taylor models defined in these references The difference only affects the function set that is defined by a Taylor model In computations that involve a Taylor model ... Taylor model method is described in Section 4, which is followed by a discussion of Taylor model methods for linear ODEs A nonlinear model problem is used to explain preconditioned Taylor model...

Ngày tải lên: 12/01/2014, 21:46

... On Taylor Model Based Integration of ODEs Interval Arithmetic and Taylor Models Verified Integration of ODEs Taylor Model Methods for ODEs Verified Integration of Linear ODEs Quadratic Model Problem ... On Taylor Model Based Integration of ODEs Interval Arithmetic and Taylor Models Verified Integration of ODEs Taylor Model Methods for ODEs Verified Integration of Linear ODEs Quadratic Model Problem ... On Taylor Model Based Integration of ODEs Interval Arithmetic and Taylor Models Verified Integration of ODEs Taylor Model Methods for ODEs Verified Integration of Linear ODEs Quadratic Model Problem...

Ngày tải lên: 12/01/2014, 21:47

Ngày tải lên: 26/01/2014, 07:20

... ii 1/26/2011 3:05:13 PM MODEL- BASED VISUAL TRACKING www.it-ebooks.info ffirs01.indd i 1/26/2011 3:05:13 PM www.it-ebooks.info ffirs01.indd ii 1/26/2011 3:05:13 PM MODEL- BASED VISUAL TRACKING The ... Internal Camera Model / 13 2.1.2 Nonlinear Distortion / 16 2.1.3 External Camera Parameters / 17 2.1.4 Uncalibrated Models / 18 2.1.5 Camera Calibration / 20 Object Model / 26 2.2.1 Shape Model and ... predicted This may involve single-hypothesis distributions such as a Gaussian, or multihypothesis models such as mixtures of Gaussians, and takes into account the measurement residuals as well...

Ngày tải lên: 17/02/2014, 23:20

... ii 1/26/2011 3:05:13 PM MODEL- BASED VISUAL TRACKING www.it-ebooks.info ffirs01.indd i 1/26/2011 3:05:13 PM www.it-ebooks.info ffirs01.indd ii 1/26/2011 3:05:13 PM MODEL- BASED VISUAL TRACKING The ... Internal Camera Model / 13 2.1.2 Nonlinear Distortion / 16 2.1.3 External Camera Parameters / 17 2.1.4 Uncalibrated Models / 18 2.1.5 Camera Calibration / 20 Object Model / 26 2.2.1 Shape Model and ... predicted This may involve single-hypothesis distributions such as a Gaussian, or multihypothesis models such as mixtures of Gaussians, and takes into account the measurement residuals as well...

Ngày tải lên: 20/02/2014, 02:20

... not always readily available 574 Cross-Lingual Mixture Model for Sentiment Classification In this section we present the cross-lingual mixture model (CLMM) for sentiment classification We first ... generative mixture model for generating a parallel corpus The unobserved polarities of the unlabeled parallel corpus are modeled as hidden variables, and the observed words in parallel corpus are modeled ... Chinese classifiers As is depicted in Table 2, these classifiers are relatively weak As a result, in the initial iterations of co-training based methods, the predictions made by the Chinese classifiers...

Ngày tải lên: 07/03/2014, 18:20

... histories of the current morpheme in the trigram language model The trigram model is smoothed using deleted interpolation with the bigram and unigram models, (Jelinek 1997), as in (1): ‫و# آﺎن اﻳﺮﻓﺎﻳﻦ ... language model score of each segmentation For some segmentations of a token, the stem may be an out of vocabulary item In that case, we use an “UNKNOWN” class in the trigram language model with the model ... implementation involves (i) language model training on a morphemesegmented corpus, (ii) segmentation of input text into a sequence of morphemes using the language model parameters, and (iii) unsupervised...

Ngày tải lên: 08/03/2014, 04:22

... I model) (TRI model) (DEP model) ,r, fuJ 200 400 600 800 1000 1200 1400 600 No of training sentences P F Brown, V J Della Pietra, P V deSouza, J C Lai, and R L Mercer 1992 "ClassBased n-gram Models ... Preliminary experiments We have experimented with three language models, tri-gram model (TRI), bi-gram model (BI), and the proposed model (DEP) on a raw corpus extracted from KAIST corpus The raw ... we used for Ks We take the performance of a language model to be its cross-entropy on test corpus, u~ 2.8 2.6 2.4 2.2 ~ a (DEP model) o (TRI model) i 1.8 1.6 1.4 200 400 600 800 1000 1200 1400...

Ngày tải lên: 08/03/2014, 05:21

... ) Hierarchical Pitman-Yor Language Models We describe an n-gram language model based on a hierarchical extension of the Pitman-Yor process An n-gram language model defines probabilities over the ... examples of nonparametric Bayesian models Here we give a quick description of the Pitman-Yor process in the context of a unigram language model; good tutorials on such models are provided in (Ghahramani, ... proposing a langauge model with excellent performance and the accompanying advantages of Bayesian probabilistic models, in proposing a novel and efficient inference scheme for the model, and in establishing...

Ngày tải lên: 17/03/2014, 04:20

... a reasoner based on the theory of model- based reasoning (cf Simmons and Davis [18], Fink and Lusth [6], Davis and Hamscher [5]) for collective-distributive ambiguity resolution The model that ... Reasoning about cumulative readings is particularly interesting, and I will discuss it in detail Model- Based Reasoning Disambiguation 2.1 CDCL CDCL is used to represent collective-distributive readings, ... such calculations of the number of objects from what we know about the reading (cf.2.2.2) 2.2 Model- Based Reasoner Unification fails only when the first and second operations succeed and the third...

Ngày tải lên: 17/03/2014, 08:20

... also Augmentation of the model On the basis of the experimental results in the previous section, we augment our text summarization model We first examine the current model more carefully As mentioned ... appropriateness of models without regard to search quality, we first focused on exact and found that MCKP-Rel outperformed MCKP with exact This means that MCKP-Rel model is superior to MCKP model Among ... 1}, where λ is a constant We call this model MCKPRel, because the relevance to the document cluster is taken into account We discuss the relation to the model proposed by McDonald (2007), whose...

Ngày tải lên: 17/03/2014, 22:20

... details included Core−box models combining details with identifiable core model Increasingly detailed gray−box models black−box models Physically ‘inspired’ Black−box models Fig 11 Symbolic scheme ... for both models, when the data have been generated under the assumption that model is correct As would be expected, model is always fitting the data well (i.e there is a low cost) when model has ... of the models appear to be able to describe the data in an acceptable manner, and both models should be rejected If the square ends up in the lower right or upper left corner, model or model can...

Ngày tải lên: 23/03/2014, 06:20

... Results and discussion We have developed a method for prediction of coenzyme specificity, based upon hidden Markov models (HMMs) and sequence motifs (see Experimental proce1178 Fig Number of coenzyme ... Kallberg and B Persson Prediction of coenzyme specificity our study demonstrates the power of sequence -based predictions It is our hope and belief that the presented prediction tool will be a welcome ... binding regions in proteins, and also predicts if the specificity is FAD, NAD or NADP The method is based upon a combination of HMMs and sequence motif matching as outlined in Fig The HMMs are used...

Ngày tải lên: 23/03/2014, 10:21

... specialized HMM (called an EGH), Λαj , based on the episode’s frequency in the data (Algorithm 1, line 7) In the second stage of model estimation, we estimate a mixture model, ΛY , of the EGHs, Λαj , ... expression for likelihood under the mixture model are the mixture coefficients, θj , j = 1, , J We use the Expectation Maximization (EM) algorithm [1], to estimate the mixture coefficients of ΛY from ... necessary condition for the algorithm to predict En+1 = Y is based on the likelihood of the window, X, of events under the mixture model, ΛY , and is given by P [X | ΛY ] > γ FREQUENT EPISODES...

Ngày tải lên: 23/03/2014, 13:20

... of our models differ: we employ distance -based distortion, while they add structural correspondence terms based on syntactic parse trees Also, our model training is identical to the HMMbased baseline ... undirected model play the same role as conditional probabilities in a directed model, but not need to be locally normalized 421 2.2 A Bidirectional Alignment Model We can combine two HMM -based directional ... alignment models, which we review in Section 2.1, along with additional structure that that we introduce in Section 2.2 2.1 HMM -Based Alignment Model This section describes the classic hidden Markov model...

Ngày tải lên: 23/03/2014, 16:20

... Abstraction: Model- based Views In this paper we propose to rectify this situation via a new abstraction called model- based views which we have implemented in a traditional relational database system Modelbased ... specifying views based on a variety of commonly used models We describe several such models that we have implemented in our prototype system, as well as our approach for defining arbitrary model- based views ... 20 Model projects from raw readings onto grid t=1 ModelView 10 20 t=2 time y 1 20 15 10 18 Actual Observations Made at Various Times x temp 10 15 raw-temp-readings Figure 1: Model- based view ModelView...

Ngày tải lên: 30/03/2014, 13:20

... because constant, P (O|W ) models the channel’s noise, and P (W ) models the language of the source Choudhury et al (2007) implemented the noisy channel through a Hidden-Markov Model (HMM) able to handle ... step, each segment is composed with a rewrite model according to its kind: the IV rewrite model RIV for sequences of IV words, and the OOV rewrite model ROOV for sequences of OOV words:  if sgi ... normalization algorithm is original in two ways First, it is entirely based on models learned from a training corpus Second, the rewrite model applied to a noisy sequence differs depending on whether...

Ngày tải lên: 30/03/2014, 21:20

... representation, this formalisation allows us to convert it into a Mixture Model POMDP The only additional components of the i model are the user model P (hj |at−1 , rt−1 ), the t ASR-SLU prior P (hj ), ... user model, the system uses an ngram user model, as described in (Georgila et al., 2005), trained on the annotated TownInfo corpus.2 The system’s dialogue management policy is a Mixture Model ... Thanks to K Georgilla for training this model 76 Conclusions Mixture Model POMDPs combine the efficiency of MDP spoken dialogue systems with the ability of POMDP models to make use of multiple ASR...

Ngày tải lên: 31/03/2014, 00:20