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This is a very user friendly Gram Schmidth Algorithm implemented in MATLAB.
I have already submited a file of the same algo,bt this one is bit more flexible than previous.
Hope u will find it useful.



convert some vectors into Gram schmidt.



Bi-gram applications based on language models produced by SRILM from Chinese Wikipedia corpus, include Chinese word segmenter, word-based (not character-based) Traditional-Simplified Chinese converter and Chinese syllable-to-word converter.



Given an arbitrary basis {u1,u2,u3,...un} for an n-dimensional inner product space
V, the Gram-Schmidt algorithm constructs an orthogonal basis {v1,v2,v3,... vn}
for V.



%Input:
%Suppose you have a file that lists the occurences of every n-gram,
%and has a data format looks like (%s %s ... %d):
%hello 367
%word 5754

%Output
%Plot a JPG figure and saves it in the data files'...



The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classii¬?cation and...



Provide a robust and efficient implementation of n-gram based classifiers to Java. N-Gram algorithms have shown to be surprisingly good at tasks like guessing the language/encoding from an arbitrary text file. And there are many more applications.



Display via SSI rows of summary info in the format of "Field1 : Field2". For example, "US Dollar : $3.80", "Gold : $8.95/gram", "New Castle 1 : Liverpool 2", "Champion : Mike Tyson" etc. Features...



The N-way Toolbox for MATLAB is the most advanced toolbox for fitting multi-way models. It is free and provides means for fitting PARAFAC, Tucker, N-PLS, GRAM and TLD. Further updates and data sets are available at http://www.models.life.ku.dk/



Provides a set of tools for processing text, such as text extraction and classification. Classification implementations to be implemented include: Bayesian and Statistical (N-gram).



AddUp 2 could be the last calculator you will ever want. With a flexible work area and user-selectable button panels, this multipurpose tool packs all the functionality you can expect in a calculator.A flexible work area lets you type in your...



The Trigram class can be used to compare blocks of text based on their local structure, which is a good indicator of the language used. It could also be used within a language to discover and compare the characteristic footprints of various...



The Extended GARCH Toolbox estimates a variety of GARCH models with different distributions and for any order of ARCH (p) and GARCH (q) effects.

The supported models are:
GARCH: Bollerslev (1986)
GJR-GARCH: Glosten et al....



The Toolbox forecasts the volatility of a (mxn) vector of data and from a variety of in-built / non-in-built GARCH models with various distributions, as well as the univariate RiskMetrics. The toolbox also estimates a number of Volatility Forecast...



The ARMAX-GARCH Toolbox estimates, forecasts and simulates a large variety of ARMA and GARCH models with different distributions and for any order of AR(n), MA(m), ARCH (p) and GARCH (q) effects as well as it allows any number of factors in the...



The set of vectors is passed like column vectors of a matrix.
This algorithm take advantage of the matrix form using sub matrix (more vectors at the same time).
I've tested it with a random 1000x1000 matrix (so 1000 vectors 1000x1)...



Lyapunov exponent calcullation for ODE-system. The alogrithm employed in this m-file for determining Lyapunov exponents was proposed in A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time...



ARMAX-GARCH Toolbox (Estimation, Forecasting, Simulation and Value-at-Risk Applications)

The ARMAX-GARCH Toolbox estimates, forecasts and simulates a large variety of ARMA and GARCH models with different distributions and for any order...



HANKELSV computes controllability and observability grammians Wc, Wo, and the Hankel singular values OUT of an LTI model SYS (created with either TF, ZPK, SS, or FRD). The model SYS can be either continuous-time or discrete-time. However, only in...



Normalize a set of vector, or builds a set of orthnormal vectors from a single vector