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AAAI
2006
14 years 11 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
ICC
2007
IEEE
15 years 4 months ago
Decomposition of Energy Consumption in IEEE 802.11
— We derive formulas for the energy J(n) that a station’s radio consumes when it transmits 1 MB of data in an IEEE 802.11 network with n stations. Calculations show that J(n) g...
Mustafa Ergen, Pravin Varaiya
UAI
1998
14 years 11 months ago
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
Ronald Parr
AAAI
1996
14 years 11 months ago
Building Steady-State Simulators via Hierarchical Feedback Decomposition
In recent years, compositional modeling and selfexplanatory simulation techniques have simplified the process of building dynamic simulators of physical systems. Building steady-s...
Nicolas F. Rouquette
AAAI
1990
14 years 11 months ago
Tree Decomposition with Applications to Constraint Processing
This paper concerns the task of removing redundant information from a given knowledge base, and restructuring it in the form of a tree, so as to admit efficient problem solving ro...
Itay Meiri, Judea Pearl, Rina Dechter