750 search results - page 47 / 150 » Learning SVMs from Sloppily Labeled Data |
NIPS
2007
13 years 10 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
INTERSPEECH
2010
13 years 4 months ago
2010
In an attempt to improve models of human perception, the recognition of phonemes in nonsense utterances was predicted with automatic speech recognition (ASR) in order to analyze i...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
CORR
2012
Springer
12 years 4 months ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
AAAI
2012
11 years 11 months ago
2012
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...