Papers
21,849 papers found
Inductive reasoning about chimeric creatures
Charles Kemp
Inference in continuous-time change-point models
Florian Stimberg, Manfred Opper, Guido Sanguinetti et al.
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
Hai-son P. Le, Ziv Bar-joseph
Inferring spike-timing-dependent plasticity from spike train data
Ian Stevenson, Konrad Koerding
Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu, Ning Chen, Eric P. Xing
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar R. Rad, Liam Paninski
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad S. Sorower, Janardhan R. Doppa, Walker Orr et al.
Iterative Learning for Reliable Crowdsourcing Systems
David R. Karger, Sewoong Oh, Devavrat Shah
Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger, Christian Wojek, Raquel Urtasun
Kernel Bayes' Rule
Kenji Fukumizu, Le Song, Arthur Gretton
Kernel Embeddings of Latent Tree Graphical Models
Le Song, Eric P. Xing, Ankur P. Parikh
k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
Large-Scale Category Structure Aware Image Categorization
Bin Zhao, Fei Li, Eric P. Xing
Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei Zhang, Laurent E. Ghaoui
Learning a Distance Metric from a Network
Blake Shaw, Bert Huang, Tony Jebara
Learning Anchor Planes for Classification
Ziming Zhang, Lubor Ladicky, Philip Torr et al.
Learning a Tree of Metrics with Disjoint Visual Features
Kristen Grauman, Fei Sha, Sung Ju Hwang
Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-kuo Huang, Jeff G. Schneider
Learning Eigenvectors for Free
Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth
Learning Higher-Order Graph Structure with Features by Structure Penalty
Shilin Ding, Grace Wahba, Xiaojin Zhu
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Kenji Fukumizu, Gert R. Lanckriet, Bharath K. Sriperumbudur
Learning large-margin halfspaces with more malicious noise
Phil Long, Rocco Servedio
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
Chun-Nam Yu, Russell Greiner, Hsiu-Chin Lin et al.
Learning person-object interactions for action recognition in still images
Vincent Delaitre, Josef Sivic, Ivan Laptev
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
Angela Yao, Juergen Gall, Luc V. Gool et al.