45 search results - page 1 / 9 » Markov Random Fields and Maximum Entropy Modeling for Music ... |
ISMIR
2005
Springer
13 years 10 months ago
2005
Springer
Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, an...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
CIKM
2007
Springer
13 years 10 months ago
2007
Springer
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
SIGIR
2005
ACM
13 years 10 months ago
2005
ACM
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...