159 search results - page 2 / 32 » Margin Maximizing Loss Functions |
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
EMNLP
2011
12 years 5 months ago
2011
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
TCS
2010
13 years 3 months ago
2010
This paper concerns learning binary-valued functions defined on IR, and investigates how a particular type of ‘regularity’ of hypotheses can be used to obtain better generali...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
CVPR
2011
IEEE
12 years 9 months ago
2011
IEEE
A new family of boosting algorithms, denoted TaylorBoost, is proposed. It supports any combination of loss function and first or second order optimization, and includes classical...