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AAAI
2006
15 years 8 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...
UAI
1996
15 years 8 months ago
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...
David Maxwell Chickering, David Heckerman
IJAIT
2006
121views more  IJAIT 2006»
15 years 6 months ago
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection
We present an efficient feature selection algorithm for computer aided detection (CAD) computed tomographic (CT) colonography. The algorithm 1) determines an appropriate piecewise...
Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas...
CI
2007
130views more  CI 2007»
15 years 6 months ago
Price Dynamics, Informational Efficiency, and Wealth Distribution in Continuous Double-Auction Markets
This paper studies the properties of the continuous double auction trading mechanishm using an artificial market populated by heterogeneous computational agents. In particular, we...
Javier Gil-Bazo, David Moreno, Mikel Tapia
DAC
2005
ACM
16 years 7 months ago
Efficient SAT solving: beyond supercubes
SAT (Boolean satisfiability) has become the primary Boolean reasoning engine for many EDA applications, so the efficiency of SAT solving is of great practical importance. Recently...
Domagoj Babic, Jesse D. Bingham, Alan J. Hu