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NIPS
2003
13 years 6 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
FOCS
2009
IEEE
14 years 5 days ago
Dynamic and Non-uniform Pricing Strategies for Revenue Maximization
We consider the Item Pricing problem for revenue maximization in the limited supply setting, where a single seller with n items caters to m buyers with unknown subadditive valuati...
Tanmoy Chakraborty, Zhiyi Huang, Sanjeev Khanna
WSDM
2010
ACM
236views Data Mining» more  WSDM 2010»
14 years 2 months ago
Personalized Click Prediction in Sponsored Search
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users click on ads is crucial to sponsor...
Erick Cantú-Paz, Haibin Cheng
VLDB
2004
ACM
126views Database» more  VLDB 2004»
13 years 10 months ago
STEPS towards Cache-resident Transaction Processing
Online transaction processing (OLTP) is a multibillion dollar industry with high-end database servers employing state-of-the-art processors to maximize performance. Unfortunately,...
Stavros Harizopoulos, Anastassia Ailamaki
SPAA
2010
ACM
13 years 10 months ago
Tree network coding for peer-to-peer networks
Partitioning is the dominant technique to transmit large files in peer-to-peer networks. A peer can redistribute each part immediately after its download. BitTorrent combines thi...
Arne Vater, Christian Schindelhauer, Christian Ort...