Markov dynamic models for long timescale protein motion
Markov dynamic models for long timescale protein motion
... construct simplified models of long- timescale protein motion from MD simulation data This thesis proposes the use of Markov Dynamic Models (MDMs) for the modeling of long- timescale protein motion In a ... to the study of protein motion dynamics In Chapter 3, Markov Dynamic Models (MDMs) is proposed for the modeling of long- timescale protein motion...
Tài liệu Báo cáo khoa học: "Topic Models for Dynamic Translation Model Adaptation" pptx
... framework for finitestate and context-free translation models In Proceedings of ACL System Demonstrations Vladimir Eidelman 2012 Optimization strategies for online large-margin learning in machine translation ... subdomains consistent within a document Results Results for both settings are shown in Table GTM models the latent topics at the document level, while LTM models each...
Báo cáo khoa học: "Lexically-Triggered Hidden Markov Models for Clinical Document Coding" pot
... and effective approach for clinical document coding The LT-HMM takes advantage of lexical triggers for clinical codes by operating in two stages: first, a lexical match is performed against a trigger ... context and the document as a whole For each candidate code, three types of features are generated: document features, ConText features, and code-semantics features (Table 1)...
Báo cáo khoa học: "Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation" ppt
... Human-Computer Dialogue Simulation Using Hidden Markov Models In Proc of ASRU, pages 290–295 Nina Dethlefs and Heriberto Cuay´ huitl 2010 Hia erarchical Reinforcement Learning for Adaptive Text Generation ... probability, derived from the Forward algorithm, of an observation sequence to inform the agent’s learning process r = +1 for for -2 for ...
Báo cáo khoa học: "Cutting the Long Tail: Hybrid Language Models for Translation Style Adaptation" doc
... mapped to their class just before querying the hybrid LM, therefore translation models can be trained on plain un-tagged data As exemplified in Table 4, hybrid LMs can draw useful statistics on the ... first forms, as ranked by frequency, are quite similar in the two corpora However, there are important exceptions: the pronouns I and you are among the top 20 frequent forms in...
Báo cáo khoa học: "Rule Markov Models for Fast Tree-to-String Translation" pot
... various types of rule the best performance can be obtained by combin- Markov models compare, for bigrams and trigrams, ing composed rules with a rule Markov model This For this experiment, a beam size ... rule Markov model, which makes it an ideal decoder for our model We start by describing our rule Markov model (Section 2) and then how to decode using the rule Markov model...
parametric hidden markov models for gesture recognition
... parameter as noise WILSON AND BOBICK: PARAMETRIC HIDDEN MARKOV MODELS FOR GESTURE RECOGNITION PARAMETRIC HIDDEN MARKOV MODELS 3.1 Defining Parameterized Gesture Parametric HMMs explicitly model the ... 2.1 Using HMMs in Gesture Recognition Hidden Markov models and related techniques have been applied to gesture recognition tasks with success Typically,...
Báo cáo hóa học: " Domain-Based Predictive Models for Protein-Protein Interaction Prediction" docx
... our problem, yi = represents for the interaction class and for the “noninteraction” class Assume that the numbers of samples in the interaction class and the “noninteraction” class are n1 and ... select attributes for splitting We use the information gain [19, 37] as the “goodness of split” measure, which is based on the classic formula from information theory The information gain measu...
Báo cáo hóa học: " Research Article Combining Wavelet Transform and Hidden Markov Models for ECG Segmentation" pptx
... FRAMEWORK We have developed an original ECG analysis system based on hidden Markov models divided in three parts: wavelet transform, ECG segmentation using HMMs, and premature ventricular beat detection ... segmentation ECG signal WAVELET TRANSFORMS The wavelet transform represents the signal in a scale-time space, where each scale can be seen as the result of a passban...
Models for dynamic macroeconomics phần 1 doc
... and dynamics 11 0 11 4 11 5 11 7 11 9 12 2 12 5 12 7 12 8 12 9 13 0 13 2 13 4 13 6 13 8 13 9 14 0 14 1 14 4 14 7 14 8 15 1 15 2 15 3 15 6 15 7 15 8 16 0 16 3 16 7 16 8 17 0 17 1 17 1 17 2 18 0 18 0 18 2 18 5 18 8 18 9 19 1 19 2 19 5 19 9 19 9 ... wealth Ht in (1. 16), we can write saving at t as s t = yt − = r 1+ r ∞ i =0 1 yt − − 1+ r 1+ r...
Models for dynamic macroeconomics phần 2 pot
... differences as in (1 .27 ) to allow for non-stationarity, and imposing Ï = for simplicity—and saving: yt = a11 yt−1 + a 12 s t−1 + u1t , (1.31) s t = a21 yt−1 + a 22 s t−1 + u2t (1. 32) With s t−1 in ... obtain the following expression for the consumption change c t : c t = „1 yt−1 + 2 s t−1 + vt , (1.35) where „1 = a11 − a21 , 2 = a 12 − a 22 + (1 + r ), vt = u1t − u2t The implica...
Models for dynamic macroeconomics phần 3 ppsx
... the Permanent Income Hypothesis,” Review of Economic Studies, 60, 36 7 38 3 2 Dynamic Models of Investment Macroeconomic IS–LM models assign a crucial role to business investment flows in linking ... Economics, 108, 83 109 and L Pistaferri (2000), “Using Subjective Income Expectations to Test for Excess Sensitivity of Consumption to Predicted Income Growth,” European Economic Review...
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