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AAAI
2006
15 years 2 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 7 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
15 years 2 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
15 years 2 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
15 years 2 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