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ISMB
1993
14 years 11 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»
14 years 9 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
15 years 1 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
15 years 6 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
15 years 9 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