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BMCBI
2005
152views more  BMCBI 2005»
13 years 9 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
JETAI
1998
110views more  JETAI 1998»
13 years 9 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
CORR
2011
Springer
189views Education» more  CORR 2011»
13 years 1 months ago
Metastability of Logit Dynamics for Coordination Games
Logit Dynamics [Blume, Games and Economic Behavior, 1993] is a randomized best response dynamics for strategic games: at every time step a player is selected uniformly at random a...
Vincenzo Auletta, Diodato Ferraioli, Francesco Pas...
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 10 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
ACSAC
2003
IEEE
14 years 3 months ago
Intrusion Detection: A Bioinformatics Approach
This paper addresses the problem of detecting masquerading, a security attack in which an intruder assumes the identity of a legitimate user. Many approaches based on Hidden Marko...
Scott E. Coull, Joel W. Branch, Boleslaw K. Szyman...