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ML
2002
ACM
141views Machine Learning» more  ML 2002»
15 years 6 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
PVLDB
2010
134views more  PVLDB 2010»
15 years 5 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...
SIGSOFT
2010
ACM
15 years 4 months ago
Understanding context: creating a lasting impact in experimental software engineering research
Software is developed for and in a vast number of contexts. Some software systems are small in size; some large. Some systems are developed by small teams; some large. Some projec...
Emerson R. Murphy-Hill, Gail C. Murphy, William G....
CP
2001
Springer
15 years 11 months ago
A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation
Abstract. In distributed resource allocation a set of agents must assign their resources to a set of tasks. This problem arises in many real-world domains such as disaster rescue, ...
Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, W...
NIPS
2008
15 years 8 months ago
Robust Regression and Lasso
We consider robust least-squares regression with feature-wise disturbance. We show that this formulation leads to tractable convex optimization problems, and we exhibit a particul...
Huan Xu, Constantine Caramanis, Shie Mannor