Sciweavers

750 search results - page 134 / 150
» Reconstruction for Models on Random Graphs
Sort
View
ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
SIGECOM
2010
ACM
201views ECommerce» more  SIGECOM 2010»
14 years 7 days ago
Truthful assignment without money
We study the design of truthful mechanisms that do not use payments for the generalized assignment problem (GAP) and its variants. An instance of the GAP consists of a bipartite g...
Shaddin Dughmi, Arpita Ghosh
ICWSM
2009
13 years 5 months ago
Content Based Recommendation and Summarization in the Blogosphere
This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
IBPRIA
2007
Springer
14 years 1 months ago
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to no...
Robert Marti, Joan Martí, Jordi Freixenet, ...
STOC
1997
ACM
257views Algorithms» more  STOC 1997»
13 years 11 months ago
Practical Loss-Resilient Codes
We present randomized constructions of linear-time encodable and decodable codes that can transmit over lossy channels at rates extremely close to capacity. The encoding and decod...
Michael Luby, Michael Mitzenmacher, Mohammad Amin ...