371 search results - page 65 / 75 » A Framework for Privacy Preserving Classification in Data Mi... |
KDD
2001
ACM
14 years 8 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
CVPR
2008
IEEE
13 years 7 months ago
2008
IEEE
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
CCS
2009
ACM
14 years 2 months ago
2009
ACM
In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards privacy...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...