About
The Neural Information Processing Systems (NIPS) Foundation is a non-profit corporation whose purpose is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. Neural information processing is a field which benefits from a combined view of biological, physical, mathematical, and computational sciences. The primary focus of the NIPS Foundation is the presentation of a continuing series of professional meetings known as the Neural Information Processing Systems Conference, held over the years at various locations in the United States and Canada.
Related categories
Uploaded videos:
Introductions
Introduction and overview of FMRI concepts and terminology
Feb 25, 2007
·
11218 Views
Learning when test and Trainig Imputs have different distributions
Feb 25, 2007
·
6012 Views
Invited talks
On Efficient Sequential Decision Making in Structured Problems
Feb 25, 2007
·
5635 Views
Path Integral Method for Estimation of Time Series
Feb 25, 2007
·
8950 Views
When Training and Test Distributions are Different: Characterising Learning Tran...
Feb 25, 2007
·
6985 Views
Can Adaptive Regularization Help?
Feb 25, 2007
·
5098 Views
Learning Classifiers in Distribution and Cost-sensitive Environments
Feb 25, 2007
·
4905 Views
Optimality of Bayesian Transduction - Implications for Input Non-stationarity
Feb 25, 2007
·
4790 Views
Lectures
Implications of decoding for theories of neural representation
Feb 25, 2007
·
9741 Views
Challenges and limitations in interpreting learnt classifiers
Feb 25, 2007
·
5138 Views
Exploring human object-vision with hi-res fMRI and information-based analysis
Feb 25, 2007
·
8307 Views
Spatiotemporal classification
Feb 25, 2007
·
8175 Views
Generative Models for Decoding Real-Valued Natural Experience in FMRI
Feb 25, 2007
·
5398 Views
Classifying single trial fMRI: What can machine learning learn?
Feb 25, 2007
·
6307 Views
Hidden Process Models:Decoding Overlapping Cognitive States with Unknown Timing
Feb 25, 2007
·
3828 Views
Unsupervised fMRI Analysis
Feb 25, 2007
·
6891 Views
Feature Induction Using Boosting and Logistic Regression on fMRI Images
Feb 25, 2007
·
8700 Views
fMRI-based decoding of the modified default-mode network in mild cognitive impai...
Feb 25, 2007
·
5891 Views
Learning to Compare Examples
Feb 25, 2007
·
4644 Views
Conformal Multi-Instance Kernels
Feb 25, 2007
·
4910 Views
Fast Discriminative Component Analysis for Comparing Examples
Feb 25, 2007
·
3543 Views
Finite horizon exploration for path integral control problems
Feb 25, 2007
·
4859 Views
Use of variance estimation in the multi-armed bandit problem
Feb 25, 2007
·
4525 Views
Regret to the Best vs. Regret to the Average
Feb 25, 2007
·
3159 Views
Effects of Stress and Genotype on Exploration-Exploitation Dynamics in Reinforce...
Feb 25, 2007
·
4876 Views
Exploration exploitation in Go: UCT for Monte-Carlo Go
Feb 25, 2007
·
8197 Views
A Tutorial Introduction to Stochastic Differential Equations: Continuous-time Ga...
Feb 25, 2007
·
71600 Views
Variational Bayes for Continuous-time Nonlinear State-space Models
Feb 25, 2007
·
6901 Views
How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deter...
Feb 25, 2007
·
6684 Views
The Empirical Bayes Estimation of an Instantaneous Spike Rate with a Gaussian Pr...
Feb 25, 2007
·
4674 Views
Inferring Latent Functions with Gaussian Processes in Differential Equations
Feb 25, 2007
·
5288 Views
Estimating the Joint AUC of Labelled and Unlabelled Data
Feb 25, 2007
·
4294 Views
A Domain Adaptation Formal Framework Addressing the Training/Test Distribution G...
Feb 25, 2007
·
5108 Views
Active Learning, Model Selection and Covariate Shift
Feb 25, 2007
·
7514 Views
Visualizing Pairwise Similarity via Semidefinite Programming
Feb 25, 2007
·
5726 Views
A Divergence Prior for Adaptive Learning.
Feb 25, 2007
·
4696 Views
Exploration Vs. Explotation
Feb 25, 2007
·
5018 Views
Introduction to the On-line Trading of Exploration and Exploitation Workshop
Feb 25, 2007
·
5060 Views