4578 search results - page 15 / 916 » Learning from Multi-source Data |
SAC
2006
ACM
14 years 2 months ago
2006
ACM
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
ICALT
2006
IEEE
14 years 2 months ago
2006
IEEE
In this paper we propose a schema and framework for recording and managing attention metadata. This framework is intended to capture, manage, and re-use data about attention users...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...