24th Annual International Conference on Machine Learning (ICML), Corvallis 2007
43 Videos · Jun 20, 2007
About
The 24th Annual International Conference on Machine Learning was held in conjunction with the 2007 International Conference on Inductive Logic Programming at Oregon State University in Corvallis, Oregon. As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques that allow computers to "learn". At a general level, there are two types of learning: inductive, and deductive.
Visit the Conference website here.
Videos
Opening
Introduction to the ICML07 Conference
Jun 21, 2007 8727 views
Panel
ILP Invited Panel - Structured Machine Learning: The Next 10 Years
Jun 22, 2007 9064 views
The next 10 years of ILP
Jul 27, 2007 5467 views
Reunited the splinter groups into one big relevanr force
Jul 27, 2007 3464 views
SRL - The next decade
Jul 27, 2007 6637 views
Declarative Vs. Procedural
Jul 27, 2007 5668 views
Introduction to the panel
Jul 27, 2007 3251 views
Debate
Jul 27, 2007 4607 views
Ten problems for the next 10 years
Jul 27, 2007 12556 views
Invited talks
Graphical Models for HIV Vaccine Design
Jun 22, 2007 8191 views
Bayesian models of human inductive learning
Jun 22, 2007 27501 views
Kernel Tricks, Means and Ends
Jun 21, 2007 15231 views
Metric Learning
A Transductive Framework of Distance Metric Learning by Spectral Dimensionality ...
Jun 23, 2007 6017 views
Learning Distance Function by Coding Similarity
Jun 23, 2007 6053 views
Best Paper - Information-Theoretic Metric Learning
Jun 22, 2007 17810 views
Dirichlet Aggregation: Unsupervised Learning towards an Optimal Metric for Propo...
Jun 23, 2007 6091 views
Relational Learning and ILR
Statistical Predicate Invention
Jul 27, 2007 6381 views
Bias/variance analysis of relational domains
Jun 23, 2007 8268 views
Learning from Interpretations: A Rooted Kernel for Ordered Hypergraphs
Jun 23, 2007 4661 views
Learning Probabilistic Stochastic Models from Probabilistic Examples
Jun 23, 2007 6634 views
Networks and Graphs
Entire Regularization Paths for Graph Data
Oct 29, 2007 3787 views
Graph Clustering With Network Structure Indices
Jun 23, 2007 8089 views
Scalable Modeling of Real Graphs using Kronecker Multiplication
Jun 23, 2007 10151 views
Recovering Temporally Rewiring Networks: A model-based approach
Jun 23, 2007 5395 views
Vision, Graphics and Robotics
Map Building without Localization by Dimensionality Reduction Techniques
Jun 23, 2007 7029 views
Adaptive Mesh Compression in 3D Computer Graphics using Multiscale Manifold Lear...
Jun 23, 2007 9074 views
Learning to Compress Images and Video
Jun 23, 2007 8909 views
Large-scale Optimization
Support Cluster Machine
Jun 23, 2007 6826 views
Trust Region Newton Methods for Large-Scale Logistic Regression
Jun 23, 2007 9166 views
Scalable Training of L1-regularized Log-linear Models
Jun 23, 2007 7686 views
Large-scale RLSC Learning Without Agony
Jun 23, 2007 5324 views
Language, Topic Modelling and Hierarchies
Unsupervised Prediction of Citation Influences
Jun 23, 2007 7289 views
Unsupervised Estimation for Noisy-Channel Models
Jun 23, 2007 6055 views
Three New Graphical Models for Statistical Language Modelling
Jun 23, 2007 7485 views
Hierarchical Maximum Entropy Density Estimation
Jun 23, 2007 8365 views
Mixtures of Hierarchical Topics with Pachinko Allo cation
Jun 23, 2007 9864 views
Metric Learning II
Adaptive Dimension Reduction Using Discriminant Analysis and K-means Clustering
Jul 27, 2007 8376 views
Optimal Dimensionality of Metric Space for Classification
Jul 27, 2007 7293 views
Robust Non-linear Dimensionality Reduction using Successive 1-Dimensional Laplac...
Jul 27, 2007 7096 views
Manifold-adaptive dimension estimation
Jun 24, 2007 5168 views
Learning for Efficient Retrieval of Structured Data with Noisy Queries
Jul 27, 2007 3562 views
Non-Isometric Manifold Learning: Analysis and an Algorithm
Jun 23, 2007 10707 views
Learning to Combine Distances for Complex Representations
Jun 23, 2007 7139 views