172 search results - page 18 / 35 » Scaling up Analogical Learning |
JMLR
2010
13 years 6 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
JMLR
2012
11 years 10 months ago
2012
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
AIMSA
2008
Springer
14 years 2 months ago
2008
Springer
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
TCS
2010
13 years 6 months ago
2010
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
EPIA
2009
Springer
14 years 2 months ago
2009
Springer
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...