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IJCAI
2001
15 years 1 months ago
Mode Estimation of Model-based Programs: Monitoring Systems with Complex Behavior
Deductive, mode-estimation has become an essential component of robotic space systems, like NASA's deep space probes. Future robots will serve as components of large robotic ...
Brian C. Williams, Seung Chung, Vineet Gupta
99
Voted
UAI
2000
15 years 1 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
14 years 17 days ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
90
Voted
ICASSP
2009
IEEE
15 years 7 months ago
A generalized family of parameter estimation techniques
The Extended Baum-Welch (EBW) Transformations is one of a variety of techniques to estimate parameters of Gaussian mixture models. In this paper, we provide a theoretical framewor...
Dimitri Kanevsky, Tara N. Sainath, Bhuvana Ramabha...
CISM
1993
149views GIS» more  CISM 1993»
15 years 4 months ago
The Weak Instance Model
The weak instance model is a framework to consider the relations in a database as a whole, regardless of the way attributes are grouped in the individual relations. Queries and upd...
Paolo Atzeni, Riccardo Torlone