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ICML
2005
IEEE
16 years 7 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
JMLR
2006
118views more  JMLR 2006»
15 years 6 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
BXML
2003
15 years 8 months ago
An Instructional Component for Dynamic Course Generation and Delivery
: E-Learning offers the advantage of interactivity: an E-Learning system can adapt the learning materials to suit the learner’s personality and his goals, and it can react to the...
Carsten Ullrich
ATAL
2008
Springer
15 years 8 months ago
Teaching sequential tasks with repetition through demonstration
For robots to become prevalent in human environments, the robots need to be able to perform complex tasks often involving sequential repetition of actions. In this work, we presen...
Harini Veeraraghavan, Manuela M. Veloso
AAAI
2006
15 years 8 months ago
Representing Systems with Hidden State
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
Christopher Hundt, Prakash Panangaden, Joelle Pine...