3 articles in this selection

2009/08/07

This is the index page of a "machine learning classifier gallery" which shows the results of numerous experiments on machine learning algorithms when applied to two-dimensional patterns. Each row shows a different pattern (or pattern set), described verbally then illustrated on a 2-D grid. These patterns were randomly generated (for the most part) on a 2-D grid of points. The points were then labeled based on where they fell in the pattern. On the right are algorithm classes (instance-space, rule + tree, etc.). Clicking on one of these takes you to a page showing different samples (size 50 to 1000) of the target pattern and the hypotheses generated from it by the various algorithms. Clicking on any diagram will show it to you at full resolution. Hovering over an algorithm name (eg, pyriel-2) will describe briefly what the algorithm is and exactly what arguments it was invoked with....

2009/07/17

After nearly three years and entries from more than 50,000 contestants, a multinational team says that it has met the requirements to win the million-dollar Netflix Prize: It developed powerful algorithms that improve the movie recommendations made by Netflix's existing software by more than 10 percent....

2009/06/09

In information technology, an inverted index (also referred to as postings file or inverted file) is an index data structure storing a mapping from content, such as words or numbers, to its locations in a database file, or in a document or a set of documents, in this case allowing full text search. The inverted file may be the database file itself, rather than its index. It is the most popular data structure used in document retrieval systems.[1] Several significant general-purpose mainframe-based database management systems have used inverted list architectures, including ADABAS, DATACOM/DB, and Model 204. There are two main variants of inverted indexes: A record level inverted index (or inverted file index or just inverted file) contains a list of references to documents for each word. A word level inverted index (or full inverted index or inverted list) additionally contains the positions of each word within a document.[2] The latter form offers more functionality (like phrase sear...