16 search results - page 3 / 4 » Adaptive diffusion kernel learning from biological networks ... |
ISMB
1994
13 years 6 months ago
1994
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
SAC
2004
ACM
13 years 11 months ago
2004
ACM
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
IJFCS
2006
13 years 5 months ago
2006
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
BMCBI
2010
13 years 5 months ago
2010
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
ROCAI
2004
Springer
13 years 11 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...