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IJCAI
2007
13 years 11 months ago
Optimistic Active-Learning Using Mutual Information
An “active learning system” will sequentially decide which unlabeled instance to label, with the goal of efficiently gathering the information necessary to produce a good cla...
Yuhong Guo, Russell Greiner
MONET
2011
13 years 5 months ago
On Adaptive Density Deployment to Mitigate the Sink-Hole Problem in Mobile Sensor Networks
Abstract The use of mobile sensors is of great relevance to monitor critical areas where sensors cannot be deployed manually. The presence of data collector sinks causes increased ...
Novella Bartolini, Tiziana Calamoneri, Annalisa Ma...
BIOCOMP
2006
13 years 11 months ago
A New Algorithm to Predict the Active Sites Using Amino Acid Vectors and Biochemical features of Surface Patches
: It is a very active research field to predict protein functions and active sites by protein surface patches. It is especially challengeable to predict the active sites by structu...
Sunshin Kim, Chung Rhee, Jungdo Choi, Yong Je Chun...
ICC
2007
IEEE
138views Communications» more  ICC 2007»
14 years 4 months ago
Optimal Observation Scheduling for connected target coverage problem in Wireless Sensor Networks
— In this paper, we consider the problem of scheduling sensor activity to maximize network lifetime while maintaining both discrete targets coverage and network connectivity. We ...
Qun Zhao, Mohan Gurusamy
CVPR
2010
IEEE
14 years 6 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta