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BMCBI
2004
208views more  BMCBI 2004»
15 years 2 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
TNN
1998
123views more  TNN 1998»
15 years 2 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
144
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CIKM
2010
Springer
15 years 1 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
ECCC
2010
122views more  ECCC 2010»
15 years 1 months ago
Query Complexity Lower Bounds for Reconstruction of Codes
We investigate the problem of local reconstruction, as defined by Saks and Seshadhri (2008), in the context of error correcting codes. The first problem we address is that of me...
Sourav Chakraborty, Eldar Fischer, Arie Matsliah
FUIN
2010
130views more  FUIN 2010»
15 years 1 months ago
SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions
Abstract. Logic Programs with Annotated Disjunctions (LPADs) allow to express probabilistic information in logic programming. The semantics of an LPAD is given in terms of the well...
Fabrizio Riguzzi