Papers
176,624 papers found
Improving Existing Fault Recovery Policies
Guy Shani, Christopher Meek
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation
Facundo Bromberg, Dimitris Margaritis
Incorporating Functional Knowledge in Neural Networks
Charles Dugas, Yoshua Bengio, François Bélisle et al.
Indian Buffet Processes with Power-law Behavior
Yee W. Teh, Dilan Gorur
Individuation, Identification and Object Discovery
Charles Kemp, Alan Jern, Fei Xu
Information-theoretic lower bounds on the oracle complexity of convex optimization
Alekh Agarwal, Martin J. Wainwright, Peter L. Bartlett et al.
Inner sphere trees for proximity and penetration queries
R. Weller and G. Zachmann
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
Miguel Lázaro-Gredilla, Aníbal Figueiras-Vidal
Investigating Pitch Accent Recognition in Non-native Speech
Gina-Anne Levow
Investigation of Question Classifier in Question Answering
Zhiheng Huang, Marcus Thint, Asli Celikyilmaz
Java-ML: A Machine Learning Library
Thomas Abeel, Yves Van de Peer, Yvan Saeys
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet et al.
Kernel Methods for Deep Learning
Youngmin Cho, Lawrence K. Saul
Kernels and learning curves for Gaussian process regression on random graphs
Peter Sollich, Matthew Urry, Camille Coti
Know Thy Neighbour: A Normative Theory of Synaptic Depression
Jean-pascal Pfister, Peter Dayan, Máté Lengyel
Label Selection on Graphs
Andrew Guillory, Jeff A. Bilmes
Large scale graph-based SLAM using aerial images as prior information
R. Kummerle, B. Steder, C. Dornhege et al.
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
Finale Doshi-velez, Shakir Mohamed, Zoubin Ghahramani et al.
Lattice Regression
Eric Garcia, Maya Gupta
Learning Acyclic Probabilistic Circuits Using Test Paths
Dana Angluin, James Aspnes, Jiang Chen et al.
Learning Approximate Sequential Patterns for Classification
Zeeshan Syed, Piotr Indyk, John Guttag
Learning a Small Mixture of Trees
M. P. Kumar, Daphne Koller
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
Shuai Huang, Jing Li, Liang Sun et al.
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
Lei Wu, Rong Jin, Steven C. Hoi et al.
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih R. Amini, Nicolas Usunier, Cyril Goutte