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» The Inference Problem: A Survey
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EWCBR
2008
Springer
15 years 9 months ago
Noticeably New: Case Reuse in Originality-Driven Tasks
"Similar problems have similar solutions" is a basic tenet of case-based inference. However this is not satisfied for CBR systems where the task is to achieve original so...
Belén Díaz-Agudo, Enric Plaza, Juan ...
ICMLA
2008
15 years 8 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
IJCAI
2007
15 years 8 months ago
Incremental Construction of Structured Hidden Markov Models
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
UAI
2003
15 years 8 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
NIPS
1998
15 years 8 months ago
Efficient Bayesian Parameter Estimation in Large Discrete Domains
In this paper we examine the problem of estimating the parameters of a multinomial distribution over a large number of discreteoutcomes,most of which do not appearin the training ...
Nir Friedman, Yoram Singer