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CHI
2010
ACM
14 years 20 days ago
Interactive optimization for steering machine classification
Interest has been growing within HCI on the use of machine learning and reasoning in applications to classify such hidden states as user intentions, based on observations. HCI res...
Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric H...
ICML
2009
IEEE
14 years 6 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
INFOCOM
2008
IEEE
14 years 6 days ago
Minimum Cost Data Aggregation with Localized Processing for Statistical Inference
—The problem of minimum cost in-network fusion of measurements, collected from distributed sensors via multihop routing is considered. A designated fusion center performs an opti...
Animashree Anandkumar, Lang Tong, Ananthram Swami,...
NIPS
1990
13 years 7 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
AVSS
2006
IEEE
13 years 12 months ago
Large System Decision Fusion Performance in Inhomogeneous Sensor Networks
The problem of decision fusion in a large wireless sensor system with many power-constrained distributed nodes is considered. The sensor network is assumed to be inhomogeneous. i....
Sudharman K. Jayaweera, Kossai Al-Tarazi