Papers
172,654 papers found
Bayesian Synchronous Grammar Induction
Phil Blunsom, Trevor Cohn, Miles Osborne
Bearing-Only Control Laws For Balanced Circular Formations of Ground Robots
Nima Moshtagh, Nathan Michael, Ali Jadbabaie et al.
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall, Hynek Hermansky, Alon Zweig et al.
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Marek Petrik, Bruno Scherrer
Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl
Juan Huo, Zhijun Yang, Alan F. Murray
BiSpace Planning: Concurrent Multi-Space Exploration
Rosen Diankov, Nathan Ratliff, Dave Ferguson et al.
Bouligand Derivatives and Robustness of Support Vector Machines for Regression
Andreas Christmann, Arnout Van Messem
Bounding Performance Loss in Approximate MDP Homomorphisms
Jonathan Taylor, Doina Precup, Prakash Panagaden
Bounds on marginal probability distributions
Joris M. Mooij, Hilbert J. Kappen
Breaking Audio CAPTCHAs
Jennifer Tam, Jiri Simsa, Sean Hyde et al.
Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot
Sven Schmidt-Rohr, Steffen Knoop, Martin Lösch et al.
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Geremy Heitz, Stephen Gould, Ashutosh Saxena et al.
Causal Reasoning with Ancestral Graphs
Jiji Zhang
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons
Adam Ponzi, Jeff Wickens
Characteristic Kernels on Groups and Semigroups
Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf et al.
Characterizing neural dependencies with copula models
Pietro Berkes, Frank Wood, Jonathan W. Pillow
Characterizing response behavior in multisensory perception with conflicting cues
Rama Natarajan, Iain Murray, Ladan Shams et al.
Classification with a Reject Option using a Hinge Loss
Peter L. Bartlett, Marten H. Wegkamp
Classifying Dynamic Objects: An Unsupervised Learning Approach
Matthias Luber, Kai Arras, Christian Plagemann et al.
Closed Sets for Labeled Data
Gemma C. Garriga, Petra Kralj, Nada Lavrač
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Jean-philippe Vert, Francis R. Bach
Clustering Sensor Data for Terrain Identification using a Windowless Algorithm
Philippe Giguere, Gregory Dudek
Clustering via LP-based Stabilities
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
Clusters and Coarse Partitions in LP Relaxations
David Sontag, Amir Globerson, Tommi S. Jaakkola