SHA-2 (Secure Hash Algorithm 2), of which SHA-256 is a part, is one of the most popular hashing algorithms out there. In this article, we are going to break down each step of the algorithm as simple as we can and work through a real-life example by hand.
An objective function is a measure of how similar a prediction of a value and the actual value are. Usually, we are looking to find the set of parameters that lead to the smallest possible cost which would imply that your algorithm will perform well.
Scalable learning is a key differentiator for modern enterprise business. The theory states that the institutions most likely to thrive in today’s changing economic environments will be those that provide opportunities not only to learn faster as a whole organization, but also to learn from other individuals and organizations to create new knowledge.
The process of writing large parallel programs is complicated by the need to specify both the parallel behaviour of the program and the algorithm that is to be used to compute its result.
This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran's book "Programming Collective Intelligence." The book has python implementations; this is a Java implementation.
We present the Priority R-tree, or PR-tree, which is the first R-tree variant that always answers a window query using O((N/B)1-1/d+T/B) I/Os, where N is the number of d-dimensional (hyper-) rectangles stored in the R-tree, B is the disk block size, and T
Welcome to LiteratePrograms! LiteratePrograms is a unique wiki where every article is simultaneously a document and a piece of code that you can view, download, compile, and run by simply using the "download code" tab at the top of every article. See Inse
I'd been planning to add full-text search capabilities to FastRI from the beginning, and in Ruby-land "full-text" means Ferret. But I wanted to keep dependencies to a minimum, as FastRI could someday aspire to replace parts of the agonizing ri in the stdl
In many problems that require extensive searching, the solution can be described as satisfying two competing constraints, where satisfying each independently does not pose a challenge. As an alternative to tree-based and stochastic searching, for these problems we propose using an iterated map built from the projections to the two constraint sets. Algorithms of this kind have been the method of choice in a large variety of signal-processing applications; we show here that the scope of these algorithms is surprisingly broad, with applications as diverse as protein folding and Sudoku.Our survey of applications shows the difference map algorithm often achieves results comparable to much more sophisticated, special purpose algorithms. Efficient implementations of constraint projections usually are easier than designing the linear program solver at the heart of many optimization algorithms.
(Washington, DC) Today, Congressman Tom Malinowski (NJ-7) and Congresswoman Anna G. Eshoo (CA-18) introduced the Protecting Americans from Dangerous Algorithms Act, legislation to hold large social media platforms accountable for their algorithmic amplification of harmful, radicalizing content that leads to offline violence. The bill narrowly amends Section 230 of the
A collection of command-line tools for researchers in machine learning, data mining, and related fields. All of the functionality is also provided in a clean C++ class library
The Lenna (or Lena) picture is one of the most widely used standard test images used for compression algorithms.'lena' or 'lenna' is a digitized Playboy centerfold, from November 1972. (Lenna is the spelling in Playboy, Lena is the Swedish spelling of the name.) Lena Soderberg (ne Sjööblom)
The past decade has seen a convergence of social and technological networks, with systems such as the World Wide Web characterized by the interplay between rich information content, the millions of individuals and organizations who create it, and the technology that supports it. This course covers recent research on the structure and analysis of such networks, and on models that abstract their basic properties. Topics include combinatorial and probabilistic techniques for link analysis, centralized and decentralized search algorithms, network models based on random graphs, and connections with work in the social sciences.
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform, and open source C++ library aimed to help robotics researchers to design and implement algorithms (mainly) in the fields of Simultaneous Localization and Mapping (SLAM), computer
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast
Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At
Welcome to TopCoder.
Our model is built on three key beliefs:
* Intelligence and talent are universal, not limited to one country or one company.
* The best and smartest ideas should prevail, regardless of where they come from.
* The only way to determine who has a better solution is through competition.
The foundation of TopCoder is a global community of thousands. From coders and contractors to students and hobbyists, they're brought together by a love of programming, a passion for learning, and the
drive to compete.
Together with our community, we established a rigorous and disciplined software development process that leverages our unique competition model. Based on a growing catalog of reusable software components - built and tested by our members - this process generates high-quality applications quickly and efficiently.
Through competition, the TopCoder community has revolutionized the way software is built.
Google’s net profit margin last year was 29 percent. Amazon’s was 1.8 percent. Should it pay attention to ventures like Mahalo, the new humanly-edited search engine? Should we, as searchers, pay attention? Why?
Brand new... good for you! "To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic."
A. Alroomi, F. Albasri, и J. H.Talaq. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 2 (6):
20(декабря 2013)