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prediction-error-based approach

Decision Tree based Error Correction for Statistical Phrase Break Prediction in Korean

Decision Tree based Error Correction for Statistical Phrase Break Prediction in Korean

... break prediction only covers a limited range of contextual informa- tion, ...designed error correcting tree to com- pensate for the limitations of the probabilistic phrase break ...and error-prone. ...

5

Adaptive Neuro Fuzzy Inference System Based Solar Energy Planning

Adaptive Neuro Fuzzy Inference System Based Solar Energy Planning

... RES based power system for the community is cost effective, with a total electricity cost over a system lifetime of 25 years, of less than half of the conventional diesel fuel powered ...ANFIS approach is ...

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Optimization of Hata Pathloss Model Using Terrain Roughness Parameter

Optimization of Hata Pathloss Model Using Terrain Roughness Parameter

... tuning approach is presented for Hata model. The study is based on empirical field measurement in a suburban area for a GSM network in the 800 MHz frequency ...the error using least square method. ...

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Lossy image compression based on prediction error and vector quantisation

Lossy image compression based on prediction error and vector quantisation

... selected based on fitness ...greedy approach. In the SB phase, ECWs are selected based on the ECVs identified in the EB and OB ...rated based on the crossover of all the original ...

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Optimization of CCIR Pathloss Model Using Terrain Roughness Parameter

Optimization of CCIR Pathloss Model Using Terrain Roughness Parameter

... and prediction accuracy of ...and prediction accuracy of ...tuning approach can effectively be used to minimize the prediction error of the CCIR model within the acceptable value which ...

8

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

... is, based on a pre- diction paradigm, thus exploring the temporal structure of the observed ...Our approach makes use of nonlin- ear prediction-error filters (NPEFs) to convert the convolu- ...

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Does the Box Cox transformation help in forecasting macroeconomic time series?

Does the Box Cox transformation help in forecasting macroeconomic time series?

... nonparametric approach for estimating the optimal transformation parameter based on the frequency domain estimation of the prediction error variance, and also conduct an extensive recursive ...

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A Two Layered approach to perform Effective Page Replacement

A Two Layered approach to perform Effective Page Replacement

... is based on the logical division of the cache and perform the distribution of error analysis on each division ...hardware based scheme in which complete memory is divided in smaller segments and ...

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Energy Efficient Data Transmission using PID based Data Prediction System

Energy Efficient Data Transmission using PID based Data Prediction System

... control error; the integral component mitigates steady-state errors through low-frequency compensation by an integrator; the derivative component improves transient response through providing the controller with ...

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Prediction of Stock Market Using Financial News Analysis and Supervised Data Mining Technique

Prediction of Stock Market Using Financial News Analysis and Supervised Data Mining Technique

... database. Prediction of stock market returns is an important issue in ...Basically prediction is accomplish with the help of news regarding day by day changed and company bench ...is based its profit ...

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Title: AN EFFICIENT WAY OF DATA HIDING USING HISTOGRAM SHIFTING MECHANISM

Title: AN EFFICIENT WAY OF DATA HIDING USING HISTOGRAM SHIFTING MECHANISM

... Abstract: In proposed system a novel prediction-based reversible steganographic scheme based on image inpainting was used. In my work first the reference pixel are chosen adaptively according to the ...

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Significant Factors for Reliability Estimation of Component Based Software Systems

Significant Factors for Reliability Estimation of Component Based Software Systems

... Hamlet et al. [2] presented a foundational theory for reliability of software system based on components. The theory has described how component developers could design and test their components to produce ...

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Asynchronous Hierarchical Parallel Evolutionary Algorithm-Based Framework for Water Distribution Systems Analysis.

Asynchronous Hierarchical Parallel Evolutionary Algorithm-Based Framework for Water Distribution Systems Analysis.

... simulation-optimization approach requires the simulation of contaminant movement in the WDS to evaluate the fitness of each potential solution during the search using ...

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Los Angeles And Micro-Deval Abrasion Values Estimation For Gneiss And Granite Using ANFIS Approach

Los Angeles And Micro-Deval Abrasion Values Estimation For Gneiss And Granite Using ANFIS Approach

... model are the obtained results during the drilling test. This test is quick and less expensive. This ANFIS model is compared to an MLR model. The results showed that the performance of the ANFIS model far exceeds that of ...

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MULTI DIMENSION PROTEIN IMPACT MATRIX BASED PROTEIN SEQUENCE PREDICTION USING DATA MINING

MULTI DIMENSION PROTEIN IMPACT MATRIX BASED PROTEIN SEQUENCE PREDICTION USING DATA MINING

... disease prediction is the area what focused by the ...disease prediction is the process of identifying the possibility of the disease from given input ...disease prediction reads the given input ...

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Modelling and projecting mortality improvement rates using a cohort perspective

Modelling and projecting mortality improvement rates using a cohort perspective

... 1 approach (lower LH panel), the trend patterns continue downwards (subject to a less steep rate of decrease), there is a small reversal in the trend under the MIRCO-LC ...

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Identifying a Minimal Class of Models for High--dimensional Data

Identifying a Minimal Class of Models for High--dimensional Data

... T , taking the final state in temperature t as the initial state for t 0 . The motivation for using this algorithm is that for high “temperatures”, moves that do not improve the target function are possible, so the ...

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A knowledge-based approach to protein structure prediction

A knowledge-based approach to protein structure prediction

... Hierarchical approach resulted in better prediction accuracy and helped in increasing the fold ...Fold Prediction) outperforms other available methods of protein fold recognition and, therefore, can ...

6

Entropy-based approach to missing-links prediction

Entropy-based approach to missing-links prediction

... links prediction problem can be stated by asking the following question: given a snapshot of a network, can the next most-likely links to be established be predicted? Such an issue is relevant in many research ...

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Bootstrapping Supervised Classifier Paradigm

Bootstrapping Supervised Classifier Paradigm

... Accuracy: the study showed that artificial neural network outperformed other learning algorithms in a bootstrap paradigm where the model was predicted based on the testing datasets. This was followed by naïve ...

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