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
·
11220 Views
Learning when test and Trainig Imputs have different distributions
Feb 25, 2007
·
6016 Views
Invited talks
On Efficient Sequential Decision Making in Structured Problems
Feb 25, 2007
·
5637 Views
Path Integral Method for Estimation of Time Series
Feb 25, 2007
·
8954 Views
When Training and Test Distributions are Different: Characterising Learning Tran...
Feb 25, 2007
·
6987 Views
Can Adaptive Regularization Help?
Feb 25, 2007
·
5100 Views
Learning Classifiers in Distribution and Cost-sensitive Environments
Feb 25, 2007
·
4909 Views
Optimality of Bayesian Transduction - Implications for Input Non-stationarity
Feb 25, 2007
·
4794 Views
Lectures
Implications of decoding for theories of neural representation
Feb 25, 2007
·
9743 Views
Challenges and limitations in interpreting learnt classifiers
Feb 25, 2007
·
5140 Views
Exploring human object-vision with hi-res fMRI and information-based analysis
Feb 25, 2007
·
8309 Views
Spatiotemporal classification
Feb 25, 2007
·
8176 Views
Generative Models for Decoding Real-Valued Natural Experience in FMRI
Feb 25, 2007
·
5400 Views
Classifying single trial fMRI: What can machine learning learn?
Feb 25, 2007
·
6308 Views
Hidden Process Models:Decoding Overlapping Cognitive States with Unknown Timing
Feb 25, 2007
·
3831 Views
Unsupervised fMRI Analysis
Feb 25, 2007
·
6893 Views
Feature Induction Using Boosting and Logistic Regression on fMRI Images
Feb 25, 2007
·
8702 Views
fMRI-based decoding of the modified default-mode network in mild cognitive impai...
Feb 25, 2007
·
5893 Views
Learning to Compare Examples
Feb 25, 2007
·
4647 Views
Conformal Multi-Instance Kernels
Feb 25, 2007
·
4911 Views
Fast Discriminative Component Analysis for Comparing Examples
Feb 25, 2007
·
3547 Views
Finite horizon exploration for path integral control problems
Feb 25, 2007
·
4862 Views
Use of variance estimation in the multi-armed bandit problem
Feb 25, 2007
·
4528 Views
Regret to the Best vs. Regret to the Average
Feb 25, 2007
·
3161 Views
Effects of Stress and Genotype on Exploration-Exploitation Dynamics in Reinforce...
Feb 25, 2007
·
4879 Views
Exploration exploitation in Go: UCT for Monte-Carlo Go
Feb 25, 2007
·
8199 Views
A Tutorial Introduction to Stochastic Differential Equations: Continuous-time Ga...
Feb 25, 2007
·
71602 Views
Variational Bayes for Continuous-time Nonlinear State-space Models
Feb 25, 2007
·
6903 Views
How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deter...
Feb 25, 2007
·
6690 Views
The Empirical Bayes Estimation of an Instantaneous Spike Rate with a Gaussian Pr...
Feb 25, 2007
·
4676 Views
Inferring Latent Functions with Gaussian Processes in Differential Equations
Feb 25, 2007
·
5290 Views
Estimating the Joint AUC of Labelled and Unlabelled Data
Feb 25, 2007
·
4296 Views
A Domain Adaptation Formal Framework Addressing the Training/Test Distribution G...
Feb 25, 2007
·
5109 Views
Active Learning, Model Selection and Covariate Shift
Feb 25, 2007
·
7538 Views
Visualizing Pairwise Similarity via Semidefinite Programming
Feb 25, 2007
·
5728 Views
A Divergence Prior for Adaptive Learning.
Feb 25, 2007
·
4698 Views
Exploration Vs. Explotation
Feb 25, 2007
·
5020 Views
Introduction to the On-line Trading of Exploration and Exploitation Workshop
Feb 25, 2007
·
5062 Views