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JMLR
2010
173views more  JMLR 2010»
13 years 2 months ago
Collaborative Filtering via Rating Concentration
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...
Bert Huang, Tony Jebara
TR
2008
164views more  TR 2008»
13 years 7 months ago
Inference Based on Type-II Hybrid Censored Data From a Weibull Distribution
A hybrid censoring scheme is a mixture of Type-I and Type-II censoring schemes. This article presents the statistical inferences on Weibull parameters when the data are Type-II hyb...
Aveek Banerjee, Debasis Kundu
SIBGRAPI
2005
IEEE
14 years 1 months ago
A Maximum-Likelihood Approach for Multiresolution W-Operator Design
The design of W-operators from a set of input/output examples for large windows is a hard problem. From the statistical standpoint, it is hard because of the large number of examp...
Daniel André Vaquero, Junior Barrera, Rober...
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 2 months ago
Distributed maximum a posteriori estimation for multi-robot cooperative localization
— This paper presents a distributed Maximum A Posteriori (MAP) estimator for multi-robot Cooperative Localization (CL). As opposed to centralized MAP-based CL, the proposed algor...
Esha D. Nerurkar, Stergios I. Roumeliotis, Agostin...
ICML
2001
IEEE
14 years 8 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...