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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 11 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 11 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 11 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
LATA
2009
Springer
15 years 11 months ago
Monadic Second-Order Logic for Graphs: Algorithmic and Language Theoretical Applications
This tutorial will present an overview of the use of Monadic Second-Order Logic to describe sets of finite graphs and graph transformations, in relation with the notions of tree-w...
Bruno Courcelle
LCTRTS
2009
Springer
15 years 11 months ago
Guaranteeing instruction fetch behavior with a lookahead instruction fetch engine (LIFE)
Instruction fetch behavior has been shown to be very regular and predictable, even for diverse application areas. In this work, we propose the Lookahead Instruction Fetch Engine (...
Stephen Roderick Hines, Yuval Peress, Peter Gavin,...