4578 search results - page 11 / 916 » Learning from Multi-source Data |
NEUROSCIENCE
2001
Springer
14 years 26 days ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
INTERSPEECH
2010
13 years 3 months ago
2010
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
DMIN
2006
13 years 9 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
INTERSPEECH
2010
13 years 3 months ago
2010
This paper presents a new approach to language model construction, learning a language model not from text, but directly from continuous speech. A phoneme lattice is created using...