740 results on '"Vovk, Vladimir"'
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402. Aggregation of Adaptive Forecasting Algorithms Under Asymmetric Loss Function
403. Lattice-Theoretic Approach to Version Spaces in Qualitative Decision Making
404. Gaussian Process Regression for Structured Data Sets
405. Modifications to p-Values of Conformal Predictors
406. Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel
407. Social Web-Based Anxiety Index’s Predictive Information on S&P 500 Revisited
408. Feature Mapping Through Maximization of the Atomic Interclass Distances
409. Exploring the Link Between Gene Expression and Protein Binding by Integrating mRNA Microarray and ChIP-Seq Data
410. Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains
411. Additive Regularization of Topic Models for Topic Selection and Sparse Factorization
412. GoldenEye++: A Closer Look into the Black Box
413. Sit-to-Stand Movement Recognition Using Kinect
414. RDE with Forgetting: An Approximate Solution for Large Values of with an Application to Fault Detection Problems
415. Recursive SVM Based on TEDA
416. Statistical Inference Problems and Their Rigorous Solutions : In memory of Alexey Chervonenkis
417. Learning with Intelligent Teacher: Similarity Control and Knowledge Transfer : In memory of Alexey Chervonenkis
418. Visualization and Analysis of Multiple Time Series by Beanplot PCA
419. Strongly Consistent Detection for Nonparametric Hypotheses
420. Robust Algorithms via PAC-Bayes and Laplace Distributions
421. Lower Bounds for Sparse Coding
422. Measuring the Capacity of Sets of Functions in the Analysis of ERM
423. On the Version Space Compression Set Size and Its Applications
424. Bounding Embeddings of VC Classes into Maximum Classes
425. PAC-Bayes Bounds for Supervised Classification
426. Justifying Information-Geometric Causal Inference
427. Interpretation of Black-Box Predictive Models
428. Algorithmic Statistics Revisited
429. On Martingale Extensions of Vapnik–Chervonenkis Theory with Applications to Online Learning
430. Classes of Functions Related to VC Properties
431. Making Vapnik–Chervonenkis Bounds Accurate
432. Measures of Complexity in the Theory of Machine Learning
433. Comment: Transductive Transduction PAC-Bayes Bounds Seen as a Generalization of Vapnik–Chervonenkis Bounds
434. Predictive Complexity for Games with Finite Outcome Spaces
435. On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
436. VC Dimension, Fat-Shattering Dimension, Rademacher Averages, and Their Applications
437. Around Kolmogorov Complexity: Basic Notions and Results
438. Institute of Control Sciences Through the Lens of VC Dimension
439. Sketched History: VC Combinatorics, 1826 up to 1975
440. Chervonenkis’s Recollections
441. On Learnability, Complexity and Stability
442. Loss Functions
443. Pivotal Estimation in High-Dimensional Regression via Linear Programming
444. Statistical Learning Theory in Practice
445. Explaining AdaBoost
446. On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension
447. Some Remarks on the Statistical Analysis of SVMs and Related Methods
448. Efficient Learning of Sparse Ranking Functions
449. Direct Approximation of Divergences Between Probability Distributions
450. Kernels, Pre-images and Optimization
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