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NIPS
2007
15 years 5 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
JTAER
2008
116views more  JTAER 2008»
15 years 3 months ago
Disruptions in Information Flow: A Revenue Costing Supply Chain Dilemma
The integration of supply chains as a mechanism for value creation is largely dependent on continuous flow of real time accurate information from the customer back upstream to the...
Albert Munoz, Michael D. Clements
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
16 years 29 days ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
129
Voted
WWW
2010
ACM
15 years 10 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
148
Voted
WWW
2010
ACM
15 years 10 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...