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» An Approach to Generation of Decision Rules
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KDD
2012
ACM
166views Data Mining» more  KDD 2012»
13 years 3 days 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
EMMCVPR
2007
Springer
15 years 3 months ago
Simulating Classic Mosaics with Graph Cuts
Classic mosaic is one of the oldest and most durable art forms. There has been a growing interest in simulating classic mosaics from digital images recently. To be visually pleasin...
Yu Liu, Olga Veksler, Olivier Juan
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
15 years 10 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
66
Voted
ICDCS
2008
IEEE
15 years 4 months ago
Performance Analysis of Group Based Detection for Sparse Sensor Networks
In this paper, we analyze the performance of group based detection in sparse sensor networks, when the system level detection decision is made based on the detection reports gener...
Jingbin Zhang, Gang Zhou, Sang Hyuk Son, John A. S...
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle