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» Privacy-Preserving k-NN for Small and Large Data Sets
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IPPS
2002
IEEE
15 years 4 months ago
Communication Characteristics of Large-Scale Scientific Applications for Contemporary Cluster Architectures
This paper examines the explicit communication characteristics of several sophisticated scientific applications, which, by themselves, constitute a representative suite of publicl...
Jeffrey S. Vetter, Frank Mueller
ATAL
2011
Springer
13 years 11 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm
ICCSA
2003
Springer
15 years 4 months ago
Robust Speaker Recognition Against Utterance Variations
A speaker model in speaker recognition system is to be trained from a large data set gathered in multiple sessions. Large data set requires large amount of memory and computation, ...
JongJoo Lee, JaeYeol Rheem, Ki Yong Lee
NIPS
2003
15 years 19 days ago
Unsupervised Context Sensitive Language Acquisition from a Large Corpus
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
13 years 1 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi