2321 search results - page 76 / 465 » Multiple Predicate Learning |
140
Voted
ICMLA
2010
15 years 4 days ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
152
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...
124
Voted
QEST
2005
IEEE
15 years 7 months ago
2005
IEEE
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
99
Voted
EMNLP
2008
15 years 3 months ago
2008
We present an algorithmic framework for learning multiple related tasks. Our framework exploits a form of prior knowledge that relates the output spaces of these tasks. We present...
116
Voted
DATAMINE
2006
15 years 2 months ago
2006
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...