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
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8724 views
Panel
ILP Invited Panel - Structured Machine Learning: The Next 10 Years
Jun 22, 2007
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9060 views
The next 10 years of ILP
Jul 27, 2007
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5460 views
Reunited the splinter groups into one big relevanr force
Jul 27, 2007
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3460 views
SRL - The next decade
Jul 27, 2007
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6633 views
Declarative Vs. Procedural
Jul 27, 2007
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5655 views
Introduction to the panel
Jul 27, 2007
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3247 views
Debate
Jul 27, 2007
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4605 views
Ten problems for the next 10 years
Jul 27, 2007
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12552 views
Invited talks
Graphical Models for HIV Vaccine Design
Jun 22, 2007
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8182 views
Bayesian models of human inductive learning
Jun 22, 2007
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27469 views
Kernel Tricks, Means and Ends
Jun 21, 2007
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15231 views
Metric Learning
A Transductive Framework of Distance Metric Learning by Spectral Dimensionality ...
Jun 23, 2007
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6013 views
Learning Distance Function by Coding Similarity
Jun 23, 2007
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6048 views
Best Paper - Information-Theoretic Metric Learning
Jun 22, 2007
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17801 views
Dirichlet Aggregation: Unsupervised Learning towards an Optimal Metric for Propo...
Jun 23, 2007
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6085 views
Relational Learning and ILR
Statistical Predicate Invention
Jul 27, 2007
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6369 views
Bias/variance analysis of relational domains
Jun 23, 2007
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8263 views
Learning from Interpretations: A Rooted Kernel for Ordered Hypergraphs
Jun 23, 2007
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4655 views
Learning Probabilistic Stochastic Models from Probabilistic Examples
Jun 23, 2007
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6632 views
Networks and Graphs
Entire Regularization Paths for Graph Data
Oct 29, 2007
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3784 views
Graph Clustering With Network Structure Indices
Jun 23, 2007
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8085 views
Scalable Modeling of Real Graphs using Kronecker Multiplication
Jun 23, 2007
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10127 views
Recovering Temporally Rewiring Networks: A model-based approach
Jun 23, 2007
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5391 views
Vision, Graphics and Robotics
Map Building without Localization by Dimensionality Reduction Techniques
Jun 23, 2007
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7023 views
Adaptive Mesh Compression in 3D Computer Graphics using Multiscale Manifold Lear...
Jun 23, 2007
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9069 views
Learning to Compress Images and Video
Jun 23, 2007
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8901 views
Large-scale Optimization
Support Cluster Machine
Jun 23, 2007
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6822 views
Trust Region Newton Methods for Large-Scale Logistic Regression
Jun 23, 2007
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9163 views
Scalable Training of L1-regularized Log-linear Models
Jun 23, 2007
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7684 views
Large-scale RLSC Learning Without Agony
Jun 23, 2007
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5321 views
Language, Topic Modelling and Hierarchies
Unsupervised Prediction of Citation Influences
Jun 23, 2007
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7278 views
Unsupervised Estimation for Noisy-Channel Models
Jun 23, 2007
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6052 views
Three New Graphical Models for Statistical Language Modelling
Jun 23, 2007
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7476 views
Hierarchical Maximum Entropy Density Estimation
Jun 23, 2007
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8361 views
Mixtures of Hierarchical Topics with Pachinko Allo cation
Jun 23, 2007
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9846 views
Metric Learning II
Adaptive Dimension Reduction Using Discriminant Analysis and K-means Clustering
Jul 27, 2007
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8371 views
Optimal Dimensionality of Metric Space for Classification
Jul 27, 2007
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7282 views
Robust Non-linear Dimensionality Reduction using Successive 1-Dimensional Laplac...
Jul 27, 2007
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7094 views
Manifold-adaptive dimension estimation
Jun 24, 2007
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5160 views
Learning for Efficient Retrieval of Structured Data with Noisy Queries
Jul 27, 2007
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3559 views
Non-Isometric Manifold Learning: Analysis and an Algorithm
Jun 23, 2007
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10697 views
Learning to Combine Distances for Complex Representations
Jun 23, 2007
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7135 views