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ICML
2007
IEEE
16 years 4 months ago
A bound on the label complexity of agnostic active learning
We study the label complexity of pool-based active learning in the agnostic PAC model. Specifically, we derive general bounds on the number of label requests made by the A2 algori...
Steve Hanneke
CHI
2003
ACM
16 years 3 months ago
Activity rhythm detection and modeling
We present an algorithm for detecting and modeling rhythmic temporal patterns from the record of an individual's computer activity, or online "presence." The model ...
Rosco Hill, James Begole
152
Voted
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 3 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
233
Voted
ICDE
2007
IEEE
127views Database» more  ICDE 2007»
16 years 4 months ago
Supporting Streaming Updates in an Active Data Warehouse
Active Data Warehousing has emerged as an alternative to conventional warehousing practices in order to meet the high demand of applications for up-to-date information. In a nutsh...
Neoklis Polyzotis, Spiros Skiadopoulos, Panos Vass...
158
Voted
RSS
2007
176views Robotics» more  RSS 2007»
15 years 4 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...