Papers
184,605 papers found
Diffeomorphic Dimensionality Reduction
Christian Walder, Bernhard Schölkopf
Differentiable Sparse Coding
J. A. Bagnell, David M. Bradley
Dimensionality Reduction for Data in Multiple Feature Representations
Yen-yu Lin, Tyng-luh Liu, Chiou-shann Fuh
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
Discriminative Learning of Max-Sum Classifiers
Vojtěch Franc, Bogdan Savchynskyy
Distributed Localization of Modular Robot Ensembles
Funiak Stanislav, Padmanabhan Pillai, Michael Ashley-Rollman et al.
Domain Adaptation with Multiple Sources
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Jun Zhu, Zaiqing Nie, Bo Zhang et al.
Dynamic Modeling of Stick Slip Motion in an Untethered Magnetic Micro-Robot
Steven Floyd, Chytra Pawashe, Metin Sitti
Dynamic visual attention: searching for coding length increments
Xiaodi Hou, Liqing Zhang
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
Jeremy Hill, Jason Farquhar, Suzanna Martens et al.
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
Efficient Exact Inference in Planar Ising Models
Nicol N. Schraudolph, Dmitry Kamenetsky
Efficient Inference in Phylogenetic InDel Trees
Alexandre Bouchard-côté, Dan Klein, Michael I. Jordan
Efficient Sampling for Gaussian Process Inference using Control Variables
Neil D. Lawrence, Magnus Rattray, Michalis K. Titsias
Empirical performance maximization for linear rank statistics
Stéphan J. Clémençcon, Nicolas Vayatis
Estimating Robust Query Models with Convex Optimization
Kevyn Collins-thompson
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Bo Jiang, Xuegong Zhang, Tianxi Cai
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
Julia Owen, Hagai T. Attias, Kensuke Sekihara et al.
Estimating vector fields using sparse basis field expansions
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe et al.
Estimation of Information Theoretic Measures for Continuous Random Variables
Fernando Pérez-Cruz
Evaluating probabilities under high-dimensional latent variable models
Iain Murray, Ruslan Salakhutdinov
Evidence Contrary to the Statistical View of Boosting
David Mease, Abraham Wyner
Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze, Fernando Pereira