137 search results - page 16 / 28 » Quantifying the Impact of Learning Algorithm Parameter Tunin... |
104
Voted
COLT
2006
Springer
15 years 6 months ago
2006
Springer
Stability is a common tool to verify the validity of sample based algorithms. In clustering it is widely used to tune the parameters of the algorithm, such as the number k of clust...
122
Voted
PAMI
2010
15 years 1 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
108
Voted
TSP
2010
14 years 9 months ago
2010
Dynamic spectrum management (DSM) has been recognized as a key technology to significantly improve the performance of digital subscriber line (DSL) broadband access networks. The b...
113
Voted
CIKM
2009
Springer
15 years 9 months ago
2009
Springer
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
100
Voted
CIKM
2009
Springer
15 years 9 months ago
2009
Springer
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...