The AI (Artificial Intelligence) Module is a flash interface for A.L.I.C.E. (Artificial Linguistic Internet Computer Entity)to create and use virtual personalities to your Joomla site. AI utilizes AIML (Artificial Intelligence Markup Language) to form responses to your questions and inputs. The flash interface is to be used with the Pandorabots engine.
DAoK is a webbased Roleplaying Game using phpBB3 Olympus as main plattform. It will have an own AI (A.L.I.C.E) which is already converted to phpBB. Using local dataresources for each client we are able to ignore bandwidth for grafic and audio...
(L)ive (I)nformation (N)etwork (K)eeps (E)verything (R)unning - A tool for managing demo parties and more
HERRORBAR Horizontal Error bar plot.
HERRORBAR(X,Y,L,R) plots the graph of vector X vs. vector Y with horizontal error bars specified by the vectors L and R. L and R contain the left and right error ranges for each point in X. Each error bar...
The modele pacemaker VI1 is an non linear ODE of 2 variables,V the potential of membrane cell and I1 a current variable of excitation.dV/dt=P(V,I1,K) dI1/dt=Q(V,I1,K) where K is the cardiac vector parameters of dim 8.All the polynomials P and Q...
R = RANDINTERVAL(N, INTERVALS) returns a N-by-N matrix R of random numbers taken from a uniform distribution over multiple intervals.
Similar to RAND, RANDINTERVAL([N M],..) returns a N-by-M matrix, and RANDINTERVAL([N M P ...],..)...
The basic functions include the MATLAB implementation of ICC (Intraclass Correlation Coefficient), CCC (Corcordance Correlation Coefficient) and Kendall's W or KCC (Kendall's Coefficient of Concordance).
List of basic functions:
There are four ensemble strategies--- random selecting samples, Bagging strategy, Random subspace method, Rotation forest method. They are ensemble methods which can obtain the samples of individual learner. Bagging method is a classical ensemble...
I did not use the Turtle graphics module of Python because this way is much faster.
this generator flattens nested containers such as
<code> l=( (1,23), [[[[42,(5,23)]]]])</code>
<code> for i in flatten(l): print i</code>
gives you 1,23,42,5,23