259 search results - page 26 / 52 » Reinforcement Learning with the Use of Costly Features |
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
IEAAIE
2003
Springer
14 years 2 months ago
2003
Springer
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
BMCBI
2008
13 years 9 months ago
2008
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
IROS
2007
IEEE
14 years 3 months ago
2007
IEEE
— In this paper, we address the problem of learning 3D maps of the environment using a cheap sensor setup which consists of two standard web cams and a low cost inertial measurem...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...