Search results
Results from the WOW.Com Content Network
Steven Sol Skiena (born January 30, 1961) is a computer scientist and distinguished teaching professor of computer science at Stony Brook University. [1]
Skiena and Ward compared all English Wikipedia articles against five criteria: two that draw on Google PageRank, and three that draw on internal Wikipedia metrics: the number of times the page has been viewed, the number of edits to the page, and the size of the page. The concept is that these criteria measure the current fame of the subject.
The underlying technology platform, a natural language processing (NLP) and sentiment analysis system called Lydia, was developed by Dr. Steven Skiena at Stony Brook University. [7] It used Apache Hadoop to process large quantities of data. General Sentiment’s software accurately predicted the winner of the American Idol Finale in 2011. [8]
Set packing is a classical NP-complete problem in computational complexity theory and combinatorics, and was one of Karp's 21 NP-complete problems. Suppose one has a finite set S and a list of subsets of S. Then, the set packing problem asks if some k subsets in the list are pairwise disjoint (in other words, no two of them share an element).
Steven Skiena recounts a practical application in transit fare minimisation, an instance of the shortest path problem: find the cheapest two-hop airplane ticket between two given cities, from an input that describes both the cost of each hop and which pairs of hops may be combined into a single ticket.
Now 25, Beans (aka Steven Anthony Lawrence) is living life away from the Hollywood spotlight. He told HuffPost earlier this year that he has being doing some acting, lots of commercials, and ...
The Guide to Available Mathematical Software (GAMS) is a project of the National Institute of Standards and Technology to classify mathematical software by the type of problem that it solves.
That's what the formula should largely be based upon. I understand the efforts back in the '70s and '80s, but the overcorrection has likely taken $600 to $700 billion in benefits from these folks."