The following pages link to Foundations of machine learning (Q2855955):
Displaying 50 items.
- Large margin classification with indefinite similarities (Q298278) (← links)
- Classification with asymmetric label noise: consistency and maximal denoising (Q315419) (← links)
- On statistical learning of simplices: unmixing problem revisited (Q820821) (← links)
- Apportioned margin approach for cost sensitive large margin classifiers (Q825011) (← links)
- Fast local reduced basis updates for the efficient reduction of nonlinear systems with hyper-reduction (Q904247) (← links)
- Principles and theory for data mining and machine learning (Q1018999) (← links)
- Parallel distributed block coordinate descent methods based on pairwise comparison oracle (Q1675626) (← links)
- Generalization bounds for learning weighted automata (Q1704563) (← links)
- Effective DNA binding protein prediction by using key features via Chou's general PseAAC (Q1716796) (← links)
- Robust multicategory support vector machines using difference convex algorithm (Q1749454) (← links)
- Quantum Relief algorithm (Q1994722) (← links)
- Topological microstructure analysis using persistence landscapes (Q1999935) (← links)
- (Machine) learning parameter regions (Q2024444) (← links)
- Topological properties of the set of functions generated by neural networks of fixed size (Q2031060) (← links)
- Inductive matrix completion with feature selection (Q2038483) (← links)
- An optimality-argument for equal weighting (Q2054146) (← links)
- High-dimensional dynamics of generalization error in neural networks (Q2057778) (← links)
- Geometric insights into support vector machine behavior using the KKT conditions (Q2074327) (← links)
- Percolation centrality via Rademacher Complexity (Q2091801) (← links)
- Blind quantum machine learning based on quantum circuit model (Q2099578) (← links)
- Over-the-Air computation for distributed machine learning and consensus in large wireless networks (Q2106494) (← links)
- Boosting for quantum weak learners (Q2107988) (← links)
- Discriminative clustering with representation learning with any ratio of labeled to unlabeled data (Q2114048) (← links)
- A mean field game inverse problem (Q2149026) (← links)
- Learning finite state models from recurrent neural networks (Q2165516) (← links)
- Quantum-based feature selection for multiclassification problem in complex systems with edge computing (Q2176001) (← links)
- Handling concept drift via model reuse (Q2183593) (← links)
- On general matrix exponential discriminant analysis methods for high dimensionality reduction (Q2190794) (← links)
- Optimal probability aggregation based on generalized Brier scoring (Q2202512) (← links)
- An active-set proximal-Newton algorithm for \(\ell_1\) regularized optimization problems with box constraints (Q2219645) (← links)
- Robust domain adaptation (Q2254608) (← links)
- Reliable clustering of Bernoulli mixture models (Q2295043) (← links)
- Supervised learning via smoothed Polya trees (Q2303053) (← links)
- \textsc{Rankboost} \(+\): an improvement to \textsc{Rankboost} (Q2303658) (← links)
- Nuclear discrepancy for single-shot batch active learning (Q2320585) (← links)
- Optimality of SVM: novel proofs and tighter bounds (Q2333789) (← links)
- A two-layer classification framework for protein fold recognition (Q2351306) (← links)
- Generalization bounds for non-stationary mixing processes (Q2360972) (← links)
- Fast rates by transferring from auxiliary hypotheses (Q2361574) (← links)
- Preference relation-based Markov random fields for recommender systems (Q2398091) (← links)
- \(L_{p}\)-norm Sauer-Shelah lemma for margin multi-category classifiers (Q2402375) (← links)
- Accelerating block coordinate descent methods with identification strategies (Q2419524) (← links)
- Robust multicategory support matrix machines (Q2425180) (← links)
- \(\ell^1\)-analysis minimization and generalized (co-)sparsity: when does recovery succeed? (Q2659754) (← links)
- Regularizing conjunctive features for classification (Q2662672) (← links)
- Indefinite least squares with a quadratic constraint (Q2673014) (← links)
- Switching: understanding the class-reversed sampling in tail sample memorization (Q2673326) (← links)
- Regrets of proximal method of multipliers for online non-convex optimization with long term constraints (Q2679238) (← links)
- A note on star partial order preservers on the set of all variance-covariance matrices (Q2685888) (← links)
- Chosen-Ciphertext Security from Subset Sum (Q2798769) (← links)
