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GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 3 months ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
ALMOB
2006
155views more  ALMOB 2006»
14 years 9 months ago
A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
Jonathan E. Allen, Steven L. Salzberg
72
Voted
ICRA
2008
IEEE
117views Robotics» more  ICRA 2008»
15 years 4 months ago
Tracking hidden agents through shadow information spaces
— This paper addresses problems of inferring the locations of moving agents from combinatorial data extracted by robots that carry sensors. The agents move unpredictably and may ...
Jingjin Yu, Steven M. LaValle
BMCBI
2010
87views more  BMCBI 2010»
14 years 9 months ago
Epigenetic domains found in mouse embryonic stem cells via a hidden Markov model
Background: Epigenetics is an important layer of transcriptional control necessary for cell-type specific gene regulation. Recent studies have shown significant epigenetic pattern...
Jessica L. Larson, Guo-Cheng Yuan
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll