Pages that link to "Item:Q2427169"

The following pages link to Learning rates of regularized regression for exponentially strongly mixing sequence (Q2427169):

Displaying 29 items.

• Regularized least square regression with unbounded and dependent sampling (Q369717) (← links)
• Generalization bounds of ERM algorithm with Markov chain samples (Q403479) (← links)
• Learning from regularized regression algorithms with \(p\)-order Markov chain sampling (Q423185) (← links)
• Generalization bounds of ERM algorithm with \(V\)-geometrically ergodic Markov chains (Q429786) (← links)
• Consistency of support vector machines using additive kernels for additive models (Q433246) (← links)
• Learning performance of Tikhonov regularization algorithm with geometrically beta-mixing observations (Q619769) (← links)
• Regularized least-squares regression: learning from a sequence (Q645620) (← links)
• Classification with non-i.i.d. sampling (Q652859) (← links)
• Generalization performance of Lagrangian support vector machine based on Markov sampling (Q830752) (← links)
• Regularized least square regression with dependent samples (Q849335) (← links)
• A note on application of integral operator in learning theory (Q1012558) (← links)
• Indefinite kernel network with \(l^q\)-norm regularization (Q1723692) (← links)
• Concentration estimates for learning with unbounded sampling (Q1946480) (← links)
• Consistent online Gaussian process regression without the sample complexity bottleneck (Q2058904) (← links)
• Least-square regularized regression with non-iid sampling (Q2272113) (← links)
• Fast learning from \(\alpha\)-mixing observations (Q2443266) (← links)
• The performance bounds of learning machines based on exponentially strongly mixing sequences (Q2458710) (← links)
• Indefinite kernel network with dependent sampling (Q2855474) (← links)
• Least-squares regularized regression with dependent samples and<i>q</i>-penalty (Q2903163) (← links)
• Learning rates of empirical risk minimization regression with beta-mixing inputs (Q2916228) (← links)
• Regression learning with non-identically and non-independently sampling (Q2958504) (← links)
• (Q3609715) (← links)
• The consistency of least-square regularized regression with negative association sequence (Q4564912) (← links)
• Generalization and learning rate of multi-class support vector classification and regression (Q5097891) (← links)
• Optimal rate for support vector machine regression with Markov chain samples (Q5248169) (← links)
• Learning Theory Estimates with Observations from General Stationary Stochastic Processes (Q5380606) (← links)
• Prediction of time series by statistical learning: general losses and fast rates (Q5417591) (← links)
• Spectral algorithms for learning with dependent observations (Q6049257) (← links)
• Large margin unified machines with non-i.i.d. process (Q6599669) (← links)