172 search results - page 3 / 35 » Scaling up Analogical Learning |
DATAMINE
1999
13 years 5 months ago
1999
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
AAAI
1996
13 years 7 months ago
1996
Truth maintenance systems provide caches of beliefs and inferences that support explanations and search. Traditionally, the cost of using a TMS is monotonic growth in the size of ...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
IFIP12
2008
13 years 7 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
ICCAD
2008
IEEE
14 years 6 days ago
2008
IEEE
This paper presents ISCLEs, a novel and robust analog design method that promises to scale with Moore’s Law, by doing boosting-style importance sampling on digital-sized circuit...