70 search results - page 9 / 14 » Evaluating Iterative Optimization across 1000 Data Sets |
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
We consider the problem of pipelined filters, where a continuous stream of tuples is processed by a set of commutative filters. Pipelined filters are common in stream applications...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
TSP
2010
13 years 2 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
CSCLP
2008
Springer
13 years 9 months ago
2008
Springer
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...