564 search results - page 58 / 113 » Approximation algorithms for restricted Bayesian network str... |
136
Voted
UAI
2001
15 years 4 months ago
2001
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
135
Voted
ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
110
Voted
UAI
2003
15 years 4 months ago
2003
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
164
Voted
PODC
2010
ACM
15 years 6 months ago
2010
ACM
An edge dominating set for a graph G is a set D of edges such that each edge of G is in D or adjacent to at least one edge in D. This work studies deterministic distributed approx...
123
Voted
TNN
1998
15 years 2 months ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...