Problem B:Longest Ordered Subsequence
A numeric sequence of ai is ordered if a1 < a2 < ... < aN. Let the subsequence of the given numeric sequence (a1, a2, ..., aN) be any sequence (ai1, ai2, ..., aiK), where 1 <= i1 < i2 < ... < iK <= N. For example, sequence (1, 7, 3, 5, 9, 4, 8) has ordered subsequences, e. g., (1, 7), (3, 4, 8) and many others. All longest ordered subsequences are of length 4, e. g., (1, 3, 5, 8).
％ Train a two layer neural network with the Levenberg-Marquardt
％ method.
％
％ If desired, it is possible to use regularization by
％ weight decay. Also pruned (ie. not fully connected) networks can
％ be trained.
％
％ Given a set of corresponding input-output pairs and an initial
％ network,
％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms)
％ trains the network with the Levenberg-Marquardt method.
％
％ The activation functions can be either linear or tanh. The
％ network architecture is defined by the matrix NetDef which
％ has two rows. The first row specifies the hidden layer and the
％ second row specifies the output layer.
AR6001 WLAN Driver for SDIO installation Read Me
March 26,2007
(based on k14 fw1.1)
Windows CE Embedded CE 6.0 driver installation.
1. Unzip the installation file onto your system (called installation directory below)
2. Create an OS design or open an existing OS design in Platform Builder 6.0.
a. The OS must support the SD bus driver and have an SD Host Controller driver (add these from Catalog Items).
b. Run image size should be set to allow greater than 32MB.
3. a. From the Project menu select Add Existing Subproject...
b. select AR6K_DRV.pbxml
c. select open
This should create a subproject within your OS Design project for the AR6K_DRV driver.
4. Build the solution.
basic.c */
/**//* Project:NeuroBasic, basic package*//**/
/* Survey:This is a simple Basic b-code compiler which*/
/*can be used as a comfortable command shell for */
/* any program. The actual compiler is found in */
/*compiler.c.*/
/*The functions m_fctptr() and user_server()*/
/*build an interface to an
The BNL toolbox is a set of Matlab functions for defining and estimating the
parameters of a Bayesian network for discrete variables in which the conditional
probability tables are specified by logistic regression models. Logistic regression can be
used to incorporate restrictions on the conditional probabilities and to account for the
effect of covariates. Nominal variables are modeled with multinomial logistic regression,
whereas the category probabilities of ordered variables are modeled through a cumulative
or adjacent-categories response function. Variables can be observed, partially observed,
or hidden.
The ATK library provides a set of interfaces for accessibility.By supporting the ATK interfaces, an application or toolkit canbe used such as tools such as screen readers, magnifiers, and alternative input devices.
SA Encryption and Decryption using Matlab
The program set contains thirteen files listed below.
errormeg.fig
errormsg.m
helpmsg.fig
helpmsg.m
inputmsg.fig
inputmsg.m
mesgcut.m
pro2.fig
pro2.m
rsacore.m
readme.txt
screenshot.gif
In order to run the program please call pro2.m under Matlab 6.0 Environment.
System Requirement
Matlab version 6.0 and if necessary, Maple version 6.0 on any platform
PentiumII 300 MHz or equivalent.
The aip file contains few Matlab routines for 1D line scan analysis, 1D scaling, 2D scaling, image brightness or contrast variation routine and rouitne for finding area between zero cossings of 1D times series.
