The following pages link to (Q5483032):
Displaying 50 items.
- A multiple criteria nominal classification method based on the concepts of similarity and dissimilarity (Q724076) (← links)
- Keeping pace with criminals: an extended study of designing patrol allocation against adaptive opportunistic criminals (Q725011) (← links)
- Sparse factor regression via penalized maximum likelihood estimation (Q725684) (← links)
- An evolutionary framework for detecting protein conformation defects (Q726477) (← links)
- Gaussian processes with built-in dimensionality reduction: applications to high-dimensional uncertainty propagation (Q726924) (← links)
- Uncertainty propagation using infinite mixture of gaussian processes and variational Bayesian inference (Q729001) (← links)
- Finding words in alphabet soup: inference on freeform character recognition for historical scripts (Q733097) (← links)
- Modelling fingerprint ridge orientation using Legendre polynomials (Q733188) (← links)
- Bounded generalized Gaussian mixture model (Q736308) (← links)
- Bayesian estimation of Dirichlet mixture model with variational inference (Q736314) (← links)
- A best linear threshold classification with scale mixture of skew normal populations (Q736983) (← links)
- A survey of active learning in collaborative filtering recommender systems (Q739010) (← links)
- A distance on curves modulo rigid transformations (Q744145) (← links)
- Clustering noise-included data by controlling decision errors (Q744704) (← links)
- A new variational Bayesian algorithm with application to human mobility pattern modeling (Q746197) (← links)
- Maximum likelihood inference for mixtures of skew Student-\(t\)-normal distributions through practical EM-type algorithms (Q746208) (← links)
- Variational approximation for heteroscedastic linear models and matching pursuit algorithms (Q746230) (← links)
- Have I seen you before? Principles of Bayesian predictive classification revisited (Q746252) (← links)
- Weakly supervised clustering: learning fine-grained signals from coarse labels (Q746671) (← links)
- Direct conditional probability density estimation with sparse feature selection (Q747244) (← links)
- Minimum message length estimation of mixtures of multivariate Gaussian and von Mises-Fisher distributions (Q747257) (← links)
- Consensus hashing (Q747259) (← links)
- A possibilistic clustering approach toward generative mixture models (Q763363) (← links)
- Class-specific attribute reducts in rough set theory (Q780940) (← links)
- Self-organised direction aware data partitioning algorithm (Q781040) (← links)
- A novel 2D-graph clustering method based on trust and similarity measures to enhance accuracy and coverage in recommender systems (Q781906) (← links)
- Sparse polynomial chaos expansions using variational relevance vector machines (Q781971) (← links)
- An inexact primal-dual algorithm for semi-infinite programming (Q784788) (← links)
- A general-purpose machine learning framework for predicting singular integrals in boundary element method (Q785081) (← links)
- Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification (Q785638) (← links)
- Heavy quarkonium in extreme conditions (Q823209) (← links)
- Application of VBGMM for pitch type classification: analysis of TrackMan's pitch tracking data (Q825316) (← links)
- Regularized models of audiovisual integration of speech with predictive power for sparse behavioral data (Q826889) (← links)
- Active inference on discrete state-spaces: a synthesis (Q826935) (← links)
- Tractable Bayesian density regression via logit stick-breaking priors (Q826968) (← links)
- Elements of randomized forecasting and its application to daily electrical load prediction in a regional power system (Q828102) (← links)
- The effect of regularization in portfolio selection problems (Q828760) (← links)
- Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail (Q829705) (← links)
- Measuring evolutionary cancer dynamics from genome sequencing, one patient at a time (Q830656) (← links)
- Subsampling and knowledge distillation on adversarial examples: new techniques for deep learning based side channel evaluations (Q832386) (← links)
- Robust factorization methods using a Gaussian/uniform mixture model (Q847480) (← links)
- A robust and informative method for solving large-scale power flow problems (Q887172) (← links)
- Improving the pattern reproducibility of multiple-point-based prior models using frequency matching (Q888360) (← links)
- Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection (Q888568) (← links)
- Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes (Q889265) (← links)
- Noise model based \(\nu\)-support vector regression with its application to short-term wind speed forecasting (Q889277) (← links)
- Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise (Q889372) (← links)
- Multibody dynamic systems as Bayesian networks: Applications to robust state estimation of mechanisms (Q890287) (← links)
- PAC learning, VC dimension, and the arithmetic hierarchy (Q892140) (← links)
- Mixture of latent trait analyzers for model-based clustering of categorical data (Q892805) (← links)
