33 search results - page 2 / 7 » Building Very Large Neighbour-joining Trees |
VLDB
1998
ACM
13 years 9 months ago
1998
ACM
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
WWW
2011
ACM
13 years 5 days ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
DATE
2007
IEEE
13 years 11 months ago
2007
IEEE
Despite the progress of the last decades in electronic design automation, arithmetic circuits have always received way less attention than other classes of digital circuits. Logic...
ISMB
1993
13 years 6 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
DPC
1996
13 years 6 months ago
1996
Retrieving images from very large collections, using image content as a key, is becoming an important problem. Users prefer to ask for pictures using notions of content that are st...