22. ICML 2005:
, Aude Billard
: Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM.
Hal Daumé III
, Daniel Marcu
: Learning as search optimization: approximate large margin methods for structured prediction.
: A martingale framework for concept change detection in time-varying data streams.
, Jian Zhang
: A smoothed boosting algorithm using probabilistic output codes.
: A support vector method for multivariate performance measures.
S. Sathiya Keerthi
: Generalized LARS as an effective feature selection tool for text classification with SVMs.
Thomas Navin Lal
, Michael Schröder
, N. Jeremy Hill
, Hubert Preißl
, Thilo Hinterberger
, Jürgen Mellinger
, Martin Bogdan
, Wolfgang Rosenstiel
, Thomas Hofmann
, Niels Birbaumer
, Bernhard Schölkopf
: A brain computer interface with online feedback based on magnetoencephalography.
: Proto-value functions: developmental reinforcement learning.
: Comparing clusterings: an axiomatic view.
, David Page
: Generalized skewing for functions with continuous and nominal attributes.
, Wen-tau Yih
: Integer linear programming inference for conditional random fields.
, Lawrence K. Saul
: Analysis and extension of spectral methods for nonlinear dimensionality reduction.
, Tamir Hazan
: Non-negative tensor factorization with applications to statistics and computer vision.
, Gerald DeJong
: Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning.
: Propagating distributions on a hypergraph by dual information regularization.
: Learning predictive representations from a history.
, John D. Lafferty
: Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning.