A collection of command line tools which illustrate features of the file system. Demonstrates extended attributes, ACL s, and kqueue notification mechanisms.
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...
In this paper, we present LOADED, an algorithm for outlier
detection in evolving data sets containing both continuous
and categorical attributes. LOADED is a tunable algorithm,
wherein one can trade off computation for accuracy so that
domain-specific response times are achieved. Experimental
result ...
Let the following relational tables be given: R = (A, B, C) and S = (D, E, F) where A, B, C, D, E, and F are the attributes (columns). Write the SQL statements that will express each of the queries given below:
KML is an XML grammar used to encode and transport representations of geographic data for display in an earth browser. Put simply: KML encodes what to show in an earth browser, and how to show it. KML uses a tag-based structure with nested elements and attributes and is based on the XML standard.
This course is about "distributed algorithms".Distributed algorithms include a wide range of parallel algorithms,which can be classified by a variety of attributes.
This taglib contains tags used to create struts input forms, as well as other tags generally useful in the creation of HTML-based user interfaces.
Many of the tags in this tag library will throw a JspException at runtime when they are utilized incorrectly (such as when you specify an invalid combi ...
Urwid is a Python library for making text console applications. It has many features including fluid interface resizing, support for UTF-8 and CJK encodings, standard and custom text layout modes, simple markup for setting text attributes, and a powerful, dynamic list box that handles a mix of widge ...
