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KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 8 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 9 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
ICML
2009
IEEE
14 years 8 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
TON
2010
93views more  TON 2010»
13 years 2 months ago
Design and field experimentation of an energy-efficient architecture for DTN throwboxes
Disruption tolerant networks rely on intermittent contacts between mobile nodes to deliver packets using a storecarry-and-forward paradigm. We earlier proposed the use of throwbox ...
Nilanjan Banerjee, Mark D. Corner, Brian Neil Levi...
IJCAI
1997
13 years 9 months ago
Mini-Buckets: A General Scheme for Generating Approximations in Automated Reasoning
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
Rina Dechter