421 search results - page 59 / 85 » A probabilistic framework for relational clustering |
125
click to vote
RECOMB
2005
Springer
16 years 2 months ago
2005
Springer
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
93
Voted
PKDD
2007
Springer
15 years 8 months ago
2007
Springer
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
106
click to vote
MMB
2010
Springer
15 years 3 months ago
2010
Springer
We present a tool for the analysis of fault-tolerance in packet-switched communication networks. Network elements like links or routers can fail or unexpected traffic surges may o...
129
click to vote
ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
127
Voted
RECOMB
2003
Springer
16 years 2 months ago
2003
Springer
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...