9284 search results - page 25 / 1857 » Knowledge State Algorithms |
NIPS
2003
13 years 9 months ago
2003
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
STACS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We prove that, for any arbitrary finite alphabet and for the uniform distribution over deterministic and accessible automata with n states, the average complexity of Moo...
IJCAI
2003
13 years 9 months ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
ICASSP
2009
IEEE
2009
IEEE
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
14 years 3 months ago
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
JCC
2007
13 years 8 months ago
2007
: Proteins are flexible systems and commonly populate several functionally important states. To understand protein function, these states and their energies have to be identified...