437 search results - page 13 / 88 » Resource-efficient computing paradigm for computational prot... |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
One of the major limitations of HMM-based models is the inability to cope with topology: When applied to a visible observation (VO) sequence, HMM-based techniques have difficulty ...
BMCBI
2004
13 years 7 months ago
2004
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
MIDDLEWARE
2005
Springer
14 years 1 months ago
2005
Springer
Service-oriented computing paradigm encourages the use of dynamic binding of application requirements to the resources needed to fulfill application tasks. Especially in pervasive...
ISMB
1994
13 years 9 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 ...
WOSP
1998
ACM
13 years 11 months ago
1998
ACM
The POEMS project is creating an environment for end-to-end performance modeling of complex parallel and distributed systems, spanning the domains of application software, runti...