369 citations
- Université Sorbonne Paris NordFR32 papers
- Centre National de la Recherche ScientifiqueFR17 papers
- Stanford UniversityUS11 papers
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- Laboratoire de Physique Théorique de la Matière CondenséeFR8 papers
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- Institute of Nuclear Physics, Polish Academy of SciencesPL5 papers
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- Laboratoire de Physique ThéoriqueFR3 papers
5 papers · 1 filter
Differential Search Algorithm-based Parametric Optimization of Fuzzy Generalized Eigenvalue Proximal Support Vector Machine
M. H. Marghny, Rasha M. Abd ElAziz, Ahmed I. Taloba
Support Vector Machine (SVM) is an effective model for many classification problems. However, SVM needs the solution of a quadratic program which require specialized code. In addit…
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Arnaud Doucet, Nando de Freitas, Kevin Murphy +1
Particle filters (PFs) are powerful sampling-based inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob…
Reinforcement Learning with Partially Known World Dynamics
Christian R. Shelton
Reinforcement learning would enjoy better success on real-world problems if domain knowledge could be imparted to the algorithm by the modelers. Most problems have both hidden stat…
Modeling Latent Variable Uncertainty for Loss-based Learning
M. Pawan Kumar, Ben Packer, Daphne Koller
We consider the problem of parameter estimation using weakly supervised datasets, where a training sample consists of the input and a partially specified annotation, which we refer…
Constrained Approximate Maximum Entropy Learning of Markov Random Fields
Varun Ganapathi, David Vickrey, John Duchi +1
Parameter estimation in Markov random fields (MRFs) is a difficult task, in which inference over the network is run in the inner loop of a gradient descent procedure. Replacing exa…