24. ICML 2007:
Corvalis, Oregon, USA
: The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks.
, Shie Mannor
: Percentile optimization in uncertain Markov decision processes with application to efficient exploration.
: A bound on the label complexity of agnostic active learning.
: Parameter learning for relational Bayesian networks.
, Jian Yang
, Jue Wang
: A transductive framework of distance metric learning by spectral dimensionality reduction.
Chris H. Q. Ding
, Tao Li
: Adaptive dimension reduction using discriminant analysis and K-means clustering.
: Adaptive mesh compression in 3D computer graphics using multiscale manifold learning.
: Automatic shaping and decomposition of reward functions.
Chee Wee Phua
, Robert Fitch
: Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation.
: Sample compression bounds for decision trees.
: Entire regularization paths for graph data.
, Ji Zhu
, Hui Zou
: Hybrid huberized support vector machines for microarray classification.
: What is decreased by the max-sum arc consistency algorithm?
: Map building without localization by dimensionality reduction techniques.
: Least squares linear discriminant analysis.
, Rong Yan
: On the value of pairwise constraints in classification and consistency.
, Laiwan Chan
: Nonlinear independent component analysis with minimal nonlinear distortion.
, Huan Liu
: Spectral feature selection for supervised and unsupervised learning.