output
20022013
most citedLearning When Training Data are Costly: The Effect of Class Distribution on Tree Induction

930 citations

Showing 2012Show all

6 papers · 1 filter

cs.LG201220 cited

Vector Field k-Means: Clustering Trajectories by Fitting Multiple Vector Fields

Nivan Ferreira, James T. Klosowski, Carlos Scheidegger +1

Scientists study trajectory data to understand trends in movement patterns, such as human mobility for traffic analysis and urban planning. There is a pressing need for scalable an…

cs.DB20126 cited

Statistical Distortion: Consequences of Data Cleaning

Tamraparni Dasu, Ji Meng Loh

We introduce the notion of statistical distortion as an essential metric for measuring the effectiveness of data cleaning strategies. We use this metric to propose a widely applica…

cs.IT2012

Worst-Case Expected-Capacity Loss of Slow-Fading Channels

Jae Won Yoo, Tie Liu, Shlomo Shamai +1

For delay-limited communication over block-fading channels, the difference between the ergodic capacity and the maximum achievable expected rate for coding over a finite number of…

stat.AP201229 cited

Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression

Yu Ryan Yue, Martin A. Lindquist, Ji Meng Loh

In this work we perform a meta-analysis of neuroimaging data, consisting of locations of peak activations identified in 162 separate studies on emotion. Neuroimaging meta-analyses…

cs.DB20122 cited

Cologne: A Declarative Distributed Constraint Optimization Platform

Changbin Liu, Lu Ren, Boon Thau Loo +2

This paper presents Cologne, a declarative optimization platform that enables constraint optimization problems (COPs) to be declaratively specified and incrementally executed in di…

cs.NI20126 cited

Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data

Chi-Yao Hong, Matthew Caesar, Nick Duffield +1

Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect probl…