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TitleStatusHype
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
Parameter Estimation for LDA-Frames—0
Affine Invariant Divergences associated with Composite Scores and its Applications—0
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery—0
Inference in Kingman's Coalescent with Particle Markov Chain Monte Carlo Method—0
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach—0
Inference and learning in probabilistic logic programs using weighted Boolean formulas—0
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models—0
Estimation Stability with Cross Validation (ESCV)—0
Variational MCMC—0
Multi-Stage Multi-Task Feature Learning—0
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes—0
Parameter estimation under uncertainty with Simulated Annealing applied to an ant colony based probabilistic WSD algorithm—0
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models—0
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning—0
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning—0
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System—0
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression—0
APPLE: Approximate Path for Penalized Likelihood Estimators—0
Tensor decompositions for learning latent variable models—0
A Method of Moments for Mixture Models and Hidden Markov ModelsCode0
Neural Reconstruction with Approximate Message Passing (NeuRAMP)—0
Factorization MachinesCode0
Semi-Supervised Learning with Adversarially Missing Label Information—0
The Maximal Causes of Natural Scenes are Edge Filters—0
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