The following pages link to Machine Learning (Q65106):
Displaying 50 items.
- Bayesian multi-instance multi-label learning using Gaussian process prior (Q439048) (← links)
- Special issue: Selected papers based on the presentations at the European conference on machine learning and principles and practice of knowledge discovery in databases (ECML PKDD), Athens, Greece, September 5--9, 2011. (Q449108) (← links)
- Special issue: Inductive logic programming (ILP 2011). Selected papers based on the presentations at the 21st international conference on inductive logic programming, Windsor Great Park, UK, July 31 -- August 3, 2011 (Q454893) (← links)
- Introduction to the special issue on grammatical inference (Q479453) (← links)
- Distributional learning of parallel multiple context-free grammars (Q479454) (← links)
- Spectral learning of weighted automata. A forward-backward perspective (Q479459) (← links)
- Learning register automata: from languages to program structures (Q479461) (← links)
- Adaptively learning probabilistic deterministic automata from data streams (Q479463) (← links)
- \textsc{PAutomaC}: a probabilistic automata and hidden Markov models learning competition (Q479466) (← links)
- A comparison of collapsed Bayesian methods for probabilistic finite automata (Q479467) (← links)
- Improving active Mealy machine learning for protocol conformance testing (Q479471) (← links)
- Finding relational redescriptions (Q479473) (← links)
- Least-squares independence regression for non-linear causal inference under non-Gaussian noise (Q479477) (← links)
- The variational Garrote (Q479478) (← links)
- Efficient implementation of class-based decomposition schemes for naïve Bayes (Q479479) (← links)
- Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD) (Q493732) (← links)
- Asymptotic analysis of estimators on multi-label data (Q493735) (← links)
- A generalized online mirror descent with applications to classification and regression (Q493737) (← links)
- Expectation propagation in linear regression models with spike-and-slab priors (Q493741) (← links)
- Operator-valued kernel-based vector autoregressive models for network inference (Q493746) (← links)
- Editorial: ``Special issue on machine learning for health and medicine'' (Q506424) (← links)
- Supersparse linear integer models for optimized medical scoring systems (Q506427) (← links)
- A dynamic ensemble approach to robust classification in the presence of missing data (Q506432) (← links)
- Accelerating a Gibbs sampler for variable selection on genomics data with summarization and variable pre-selection combining an array DBMS and R (Q506436) (← links)
- Special issue: Inductive logic programming (ILP 2010). Selected papers based on the presentations at the 20th international conference on inductive logic programming, Florence, Italy, June 27--30, 2010. (Q658980) (← links)
- A greedy feature selection algorithm for big data of high dimensionality (Q669273) (← links)
- Learning rates for kernel-based expectile regression (Q669274) (← links)
- Fast generalization rates for distance metric learning. Improved theoretical analysis for smooth strongly convex distance metric learning (Q669277) (← links)
- Extreme value correction: a method for correcting optimistic estimations in rule learning (Q669278) (← links)
- Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms (Q669282) (← links)
- Conformal and probabilistic prediction with applications: editorial (Q669283) (← links)
- Rethinking statistical learning theory: learning using statistical invariants (Q669285) (← links)
- Online aggregation of unbounded losses using shifting experts with confidence (Q669288) (← links)
- Nonparametric predictive distributions based on conformal prediction (Q669291) (← links)
- Majority vote ensembles of conformal predictors (Q669293) (← links)
- Combination of inductive Mondrian conformal predictors (Q669296) (← links)
- Automatic face recognition with well-calibrated confidence measures (Q669301) (← links)
- Efficient Venn predictors using random forests (Q669306) (← links)
- Visualizing and understanding sum-product networks (Q669309) (← links)
- Improved linear embeddings via Lagrange duality (Q669310) (← links)
- Continuation methods for approximate large scale object sequencing (Q669313) (← links)
- The risk of trivial solutions in bipartite top ranking (Q669314) (← links)
- Unsupervised feature selection based on kernel Fisher discriminant analysis and regression learning (Q669319) (← links)
- Corruption-tolerant bandit learning (Q669323) (← links)
- COLT '94, 7th annual ACM conference on Computational learning theory, New Brunswick, NJ, USA (Q676237) (← links)
- The power of amnesia: Learning probabilistic automata with variable memory length (Q676238) (← links)
- Classic learning (Q676240) (← links)
- Rigorous learning curve bounds from statistical mechanics (Q676243) (← links)
- On the limits of proper learnability of subclasses of DNF formulas (Q676245) (← links)
- Exact learning of formulas in parallel (Q677524) (← links)
