Papers
172,654 papers found
Recursive Attribute Factoring
David Cohn, Deepak Verma, Karl Pfleger
Recursive ICA
Honghao Shan, Lingyun Zhang, Garrison W. Cottrell
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach
Matthias Krauledat, Michael Schröder, Benjamin Blankertz et al.
Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani et al.
Responsive Robot Gaze to Interaction Partner
Y. Yoshikawa, K. Shinozawa, H. Ishiguro et al.
Robotic Grasping of Novel Objects
Ashutosh Saxena, Justin Driemeyer, Justin Kearns et al.
Sample Complexity of Policy Search with Known Dynamics
Peter L. Bartlett, Ambuj Tewari
Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian, Benjamin Wellington, I. D. Melamed
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
Seyoung Kim, Padhraic Smyth
Self-supervised Monocular Road Detection in Desert Terrain
H. Dahlkamp, A. Kaehler, D. Stavens et al.
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds
Benjamin I. Rubinstein, Peter L. Bartlett, J. H. Rubinstein
Similarity by Composition
Oren Boiman, Michal Irani
Simplifying Mixture Models through Function Approximation
Kai Zhang, James T. Kwok
Single Channel Speech Separation Using Factorial Dynamics
John R. Hershey, Trausti Kristjansson, Steven Rennie et al.
Slip Prediction Using Visual Information
A. Angelova, L. Matthies, D. Helmick et al.
Some Discriminant-Based PAC Algorithms
Paul W. Goldberg
Some Theory for Generalized Boosting Algorithms
Peter J. Bickel, Ya'acov Ritov, Alon Zakai
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images
Giorgio Fumera, Ignazio Pillai, Fabio Roli
Spam Filtering Using Statistical Data Compression Models
Andrej Bratko, Gordon V. Cormack, Bogdan Filipič et al.
Sparse Boosting
Peter Bühlmann, Bin Yu
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
Jerónimo Arenas-garcía, Kaare B. Petersen, Lars K. Hansen
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
Gavin C. Cawley, Nicola L. Talbot, Mark Girolami
Sparse Representation for Signal Classification
Ke Huang, Selin Aviyente