Ideal for LARGE low power (nanoWatt) and connectivity applications that benefit from the availability of four serial ports: double synchronous serial ports (I² C™ and SPI™ ) and double asynchronous (LIN capable) serial ports. LARGE amounts of RAM memory for buffering and FLASH program memory make it ideal for instrumentation panels, TCP/IP enabled embedded applications as well as metering and industrial control and monitoring applications. While operating up to 40 MHz, it is also backward software and hardware compatible with the PIC18F8720.
Core JSP
In recent years, a LARGE amount of software development activity has migrated from
the client to the server. The client-centric model, in which a client executes complex
programs to visualize and manipulate data, is no longer considered appropriate for the
majority of enterprise applications. The principal reason is deployment—it is a
significant hassle to deploy client programs onto a LARGE number of desktops, and to
redeploy them whenever the application changes. Instead, applications are redesigned
to use a web browser as a "terminal". The application itself resides on the server,
formatting data for the user as web pages and processing the responses that the user fills into web forms.
Algorithms for the estimation of a channel whose
impulse response is characterized by a LARGE number of zero
tap coefficients are developed and compared.
http://wordnet.princeton.edu/
WordNet is a LARGE lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet s structure makes it a useful tool for computational linguistics and natural language processing.
Data mining (DM) is the extraction of hidden predictive information from LARGE databases
(DBs). With the automatic discovery of knowledge implicit within DBs, DM uses
sophisticated statistical analysis and modeling techniques to uncover patterns and relationships
hidden in organizational DBs. Over the last 40 years, the tools and techniques to
process structured information have continued to evolve from DBs to data warehousing
(DW) to DM. DW applications have become business-critical. DM can extract even more
value out of these huge repositories of information.
The program implements three LARGE-margin thresholded ensemble
algorithms for ordinal regression. It includes an improved RankBoost
algorithm, the ORBoost-LR algorithm, and the ORBoost-All algorithm.
EKF-SLAM Simulator
This version of the simulator uses global variables for
all LARGE objects, such as the state covariance matrix.
While bad programming practice, it is a necessary evil
for MatLab efficiency, as MatLab has no facility to avoid
gratuitous memory allocation and copying when passing
(and modifying) variables between functions. With this
concession, effort has been made to keep the code as
clean and modular as possible.
