Papers
184,605 papers found
Handling Advertisements of Unknown Quality in Search Advertising
Sandeep Pandey, Christopher Olston
Haptic Playback: Modeling, Controller Design, and Stability Analysis
M. Corno, M. Zefran
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space
Kyung-ah Sohn, Eric P. Xing
Hierarchical Dirichlet Processes with Random Effects
Seyoung Kim, Padhraic Smyth
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression
Martin J. Wainwright, John D. Lafferty, Pradeep K. Ravikumar
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
Xinhua Zhang, Wee S. Lee
iLSTD: Eligibility Traces and Convergence Analysis
Alborz Geramifard, Michael Bowling, Martin Zinkevich et al.
Image Retrieval and Classification Using Local Distance Functions
Andrea Frome, Yoram Singer, Jitendra Malik
implicit Online Learning with Kernels
Li Cheng, Dale Schuurmans, Shaojun Wang et al.
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Olivier Chapelle, Bernhard Schölkopf
Improving Robot Navigation Through Self-Supervised Online Learning
B. Sofman, E. Lin, J. Bagnell et al.
Incremental Algorithms for Hierarchical Classification
Nicoló Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
Incremental Support Vector Learning: Analysis, Implementation and Applications
Pavel Laskov, Christian Gehl, Stefan Krüger et al.
Inducing Metric Violations in Human Similarity Judgements
Julian Laub, Klaus-Robert Müller, Felix A. Wichmann et al.
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach
Emanuel Kitzelmann, Ute Schmid
Inferring Network Structure from Co-Occurrences
Michael G. Rabbat, Mário Figueiredo, Robert Nowak
Infinite-Ï Limits For Tikhonov Regularization
Ross A. Lippert, Ryan M. Rifkin
Information Bottleneck for Non Co-Occurrence Data
Yevgeny Seldin, Noam Slonim, Naftali Tishby
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
Stefan Klampfl, Wolfgang Maass, Robert A. Legenstein
In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis et al.
In Search of Non-Gaussian Components of a High-Dimensional Distribution
Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama et al.
Integrated Planning and Control for Convex-bodied Nonholonomic systems using Local Feedback Control Policies
D. Conner, H. Choset, A. Rizzi
Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints
L. Han, L. Rudolph
Isotonic Conditional Random Fields and Local Sentiment Flow
Yi Mao, Guy Lebanon
Kernel-Based Learning of Hierarchical Multilabel Classification Models
Juho Rousu, Craig Saunders, Sandor Szedmak et al.