Sciweavers

654 search results - page 127 / 131
» TRUST-TECH based Methods for Optimization and Learning
Sort
View
102
Voted
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 1 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
85
Voted
BMCBI
2007
119views more  BMCBI 2007»
15 years 18 days ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
139
Voted
PAMI
2007
185views more  PAMI 2007»
15 years 2 days ago
A Two-Level Generative Model for Cloth Representation and Shape from Shading
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...
Feng Han, Song Chun Zhu
121
Voted
RECSYS
2009
ACM
15 years 7 months ago
Recommending new movies: even a few ratings are more valuable than metadata
In the Netflix Prize competition many new collaborative filtering (CF) approaches emerged, which are excellent in optimizing the RMSE of the predictions. Matrix factorization (M...
István Pilászy, Domonkos Tikk
118
Voted
DLOG
2007
15 years 2 months ago
Speeding up Approximation with Nicer Concepts
Abstract. Concept approximation is an inference service for Description Logics that provides “translations” of concept descriptions from one DL to a less expressive DL. In [4] ...
Anni-Yasmin Turhan, Yusri Bong