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CPM
2004
Springer
156views Combinatorics» more  CPM 2004»
15 years 10 months ago
A Computational Model for RNA Multiple Structural Alignment.
Abstract. This paper addresses the problem of aligning multiple sequences of non-coding RNA genes. We approach this problem with the biologically motivated paradigm that scoring of...
Eugene Davydov, Serafim Batzoglou
138
Voted
ICANN
2005
Springer
15 years 10 months ago
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...
167
Voted
EMMCVPR
2011
Springer
14 years 4 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
EMMCVPR
2001
Springer
15 years 9 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
138
Voted
BIOINFORMATICS
2007
83views more  BIOINFORMATICS 2007»
15 years 4 months ago
Exploring biological network structure using exponential random graph models
Motivation: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus ...
Zachary M. Saul, Vladimir Filkov