Unsupervised learning Provider: Videolectures.NET Language: eng
Kernel Tricks, Means and Ends Provider: Videolectures.NET Language: deu
Invited Talk: Empirical Risk Minimization with Statistics of Higher Order with Examples from Bipartite Ranking Provider: Videolectures.NET Language: deu
Introduction to Boosting Provider: Videolectures.NET Language: deu
Lecture 3 - The Concept of Underfitting and Overfitting Provider: Videolectures.NET Language: deu
The Future of Image Search Provider: Videolectures.NET Language: deu
Dimensionality Reduction Provider: Videolectures.NET Language: eng
Stationary Subspace Analysis Provider: Videolectures.NET Language: deu
Lecture 8 - Kernels, Mercer's Theorem... Provider: Videolectures.NET Language: deu
Kernel Methods for Higher Order Image Statistics Provider: Videolectures.NET Language: deu
Dynamic Bayesian Networks for Multimodal Interaction Provider: Videolectures.NET Language: deu
Statistical Techniques for Particle Physics Provider: Videolectures.NET Language: eng
Introduction to Statistics Provider: Videolectures.NET Language: eng
Nonparametric Bayesian Models in Machine Learning Provider: Videolectures.NET Language: deu
Some thoughts on prior knowledge, deep architectures and NLP Provider: Videolectures.NET Language: deu
Bayesian inference and Gaussian processes Provider: Videolectures.NET Language: eng
Information-Theoretic Algorithms for Diffusion Tensor Imaging Provider: Videolectures.NET Language: deu
TP1 Leveraging Complex Prior Knowledge for Learning Provider: Videolectures.NET Language: deu
Latent Variable Sparse Bayesian Models Provider: Videolectures.NET Language: deu
Low-rank modeling Provider: Videolectures.NET Language: deu
Cognitive science for machine learning 3: Models and theories in cognitive science Provider: Videolectures.NET Language: deu
Machine Learning for Natural Languages Processing Provider: Videolectures.NET Language: deu
REGO: Rank-based estimation of Renyi information using Euclidean graph optimization Provider: Videolectures.NET Language: deu
Graph Mining and Graph Kernels Provider: Videolectures.NET Language: deu
Multi-Assignment Clustering for Boolean Data Provider: Videolectures.NET Language: deu
ILP Invited Panel - Structured Machine Learning: The Next 10 Years Provider: Videolectures.NET Language: deu
Object Recognition and Segmentation by Association Provider: Videolectures.NET Language: deu
Practical Applications of Permutation Tests Provider: Videolectures.NET Language: eng
Dynamic Asset Allocation for Bivariate Enhanced Index Tracking using Sparse PLS Provider: Videolectures.NET Language: deu
Kernel methods and Support Vector Machines Provider: Videolectures.NET Language: eng
Scaling Up Deep Learning Provider: Videolectures.NET Language: eng
Boosting Products of Base Classi´Čüers Provider: Videolectures.NET Language: deu
Local Minima Free Parameterized Appearance Models Provider: Videolectures.NET Language: deu
Pinview: Implicit Feedback in Content-Based Image Retrieval Provider: Videolectures.NET Language: deu
Multi-task feature learning Provider: Videolectures.NET Language: deu
Future Information Minimization as PAC Bayes regularization in Reinforcement Learning Provider: Videolectures.NET Language: deu
Contrast Data Mining: Methods and Applications Provider: Videolectures.NET Language: eng
Game Dynamics with Learning and Evolution of Universal Grammar Provider: Videolectures.NET Language: deu
Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization Provider: Videolectures.NET Language: deu
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models Provider: Videolectures.NET Language: deu
Online Learning: Random Averages, Combinatorial Parameters, and Learnability Provider: Videolectures.NET Language: deu
Deep Belief Networks Provider: Videolectures.NET Language: eng
Convex Optimization Provider: Videolectures.NET Language: eng
Brain Computer Interfaces Provider: Videolectures.NET Language: eng
Energy-based models & Learning for Invariant Image Recognition Provider: Videolectures.NET Language: eng
A tutorial on Deep Learning Provider: Videolectures.NET Language: eng
Learning Deep Generative Models Provider: Videolectures.NET Language: eng
Online Learning Provider: Videolectures.NET Language: deu
Pattern Discovery in Bioinformatics Provider: Videolectures.NET Language: deu
Computation of the MLE for bivariate interval censored data Provider: Videolectures.NET Language: deu
Variational filtering in generated coordinates of motion Provider: Videolectures.NET Language: deu
Learning User Profiles in Intelligent Systems Provider: Videolectures.NET Language: deu
Lecture 15: Numerical methods in estimation: recursive least squares and covariance matrix Provider: Videolectures.NET Language: deu
Topics in Mathematics of Data Science Provider: MIT OpenCourseWare Language: eng
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning Provider: Videolectures.NET Language: deu
Kernel Representations and Kernel Density Estimation Provider: Videolectures.NET Language: deu
Semi-Supervised Learning Provider: Videolectures.NET Language: eng
Learning Feature Hierarchies Provider: Videolectures.NET Language: eng
Machine Learning and Cognitive Science Provider: Videolectures.NET Language: eng
Exponential Families Provider: Videolectures.NET Language: eng
Generalized Principal Component Analysis (GPCA) Provider: Videolectures.NET Language: eng
Probabilistic Graphical Models Provider: Videolectures.NET Language: eng
How to predict with Bayes, MDL, and Experts Provider: Videolectures.NET Language: eng
Deep Learning Provider: Videolectures.NET Language: eng
Effective Multi-Label Active Learning for Text Classification Provider: Videolectures.NET Language: deu
Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data Provider: Videolectures.NET Language: deu
Non-Linear Matrix Factorization with Gaussian Processes Provider: Videolectures.NET Language: deu
Who is Afraid of Non-Convex Loss Functions? Provider: Videolectures.NET Language: eng
Dynamic networks at the edge of chaos Provider: Videolectures.NET Language: deu
Log-linear Models and Conditional Random Fields Provider: Videolectures.NET Language: eng
Probabilistic Graphical Models and Structured Prediction Provider: Videolectures.NET Language: eng
Information Theory Provider: MIT OpenCourseWare Language: eng
Introduction To Statistical Machine Learning Provider: Videolectures.NET Language: eng
Visualization Provider: Videolectures.NET Language: deu
Robust PAC-Bayes Bounds Provider: Videolectures.NET Language: deu
Deep Learning with Multiplicative Interactions Provider: Videolectures.NET Language: eng
Kernel Methods Provider: Videolectures.NET Language: eng
Machine Learning, Probability and Graphical Models Provider: Videolectures.NET Language: eng
The stability of a good clustering Provider: Videolectures.NET Language: deu
Kernlab Provider: Videolectures.NET Language: deu
Tutorial on Learning Deep Architectures Provider: Videolectures.NET Language: eng
Laplace Maximum Margin Markov Networks Provider: Videolectures.NET Language: deu
Neural Networks Provider: Videolectures.NET Language: eng
Multivariate statistical methods and data mining in particle physics Provider: Videolectures.NET Language: eng
The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Bengio Provider: Videolectures.NET Language: eng
Mathematics of Machine Learning Provider: MIT OpenCourseWare Language: eng
Marrying Graphical Models & Deep Learning Provider: Videolectures.NET Language: eng
Graphical models Provider: Videolectures.NET Language: eng
The Unreasonable Effectivness Of Deep Learning Provider: Videolectures.NET Language: eng
Learning Deep Hierarchies of Representations Provider: Videolectures.NET Language: eng
Why Bayesian nonparametrics? Provider: Videolectures.NET Language: eng
Nonparametric Bayesian Models Provider: Videolectures.NET Language: eng
Learning in Computer Vision Provider: Videolectures.NET Language: eng
Introduction to kernel methods Provider: Videolectures.NET Language: eng
Empirical Comparisons of Learning Methods & Case Studies Provider: Videolectures.NET Language: eng
Graph Matching Algorithms Provider: Videolectures.NET Language: eng
Baysian models and cognitive development Provider: Videolectures.NET Language: deu
Mining for the Most Certain Predictions from Dyadic Data Provider: Videolectures.NET Language: deu
New Ensemble Methods for Evolving Data Streams Provider: Videolectures.NET Language: deu