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SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 6 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
IPPS
1997
IEEE
14 years 1 months ago
Semantics and Implementation of a Generalized forall Statement for Parallel Languages
In this paper we present a generalized forall statement for parallel languages. The forall statement occurs in many (data) parallel languages and specifies which computations can...
Paul Dechering, Leo C. Breebaart, Frits Kuijlman, ...
UAI
2008
13 years 10 months ago
Modelling local and global phenomena with sparse Gaussian processes
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
Jarno Vanhatalo, Aki Vehtari
JUCS
2008
161views more  JUCS 2008»
13 years 8 months ago
A Model-Driven Approach to Align Business Processes with User Interfaces
: Information Technology (IT) has evolved over time from its traditional use as administrative support towards a more strategic role to enforce business processes (BP). But several...
Kênia Soares Sousa, Hildeberto Mendonç...
AAAI
1997
13 years 10 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan