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ISMB
1993
13 years 8 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
IJRR
2007
100views more  IJRR 2007»
13 years 7 months ago
Exactly Sparse Extended Information Filters for Feature-based SLAM
Recent research concerning the Gaussian canonical form for Simultaneous Localization and Mapping (SLAM) has given rise to a handful of algorithms that attempt to solve the SLAM sc...
Matthew Walter, Ryan Eustice, John J. Leonard
HPDC
1994
IEEE
13 years 11 months ago
Network Partitioning of Data Parallel Computations
Partitioning data parallel computations across a network of heterogeneous workstations is a dificult problem for the user: We have developed a runtime partitioning methodfor choos...
Jon B. Weissman, Andrew S. Grimshaw
ALT
2007
Springer
14 years 4 months ago
Learning Rational Stochastic Tree Languages
Abstract. We consider the problem of learning stochastic tree languages, i.e. probability distributions over a set of trees T(F), from a sample of trees independently drawn accordi...
François Denis, Amaury Habrard
MOBIHOC
2005
ACM
14 years 7 months ago
Sextant: a unified node and event localization framework using non-convex constraints
Determining node and event locations is a canonical task for many wireless network applications. Yet dedicated infrastructure for determining position information is expensive, en...
Emin Gün Sirer, Rohan Murty, Saikat Guha