1675 search results - page 58 / 335 » The Value of a Good Name |
PAMI
2006
13 years 8 months ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
AUSAI
2003
Springer
14 years 2 months ago
2003
Springer
Metadata plays an important role in discovering, collecting, extracting and aggregating Web data. This paper proposes a method of constructing metadata for a specific topic. The m...
ACL
2008
13 years 10 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
EUROPAR
2009
Springer
13 years 6 months ago
2009
Springer
Profiling tools relate measurements to code context such as function names in order to guide code optimization. For a more detailed analysis, call path or phase-based profiling enh...
ATAL
2007
Springer
14 years 3 months ago
2007
Springer
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...