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AAAI
2010
15 years 7 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
AAAI
2006
15 years 7 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...
AAAI
2006
15 years 7 months ago
A Simple and Effective Method for Incorporating Advice into Kernel Methods
We propose a simple mechanism for incorporating advice (prior knowledge), in the form of simple rules, into support-vector methods for both classification and regression. Our appr...
Richard Maclin, Jude W. Shavlik, Trevor Walker, Li...
AAAI
2006
15 years 7 months ago
Learning Blocking Schemes for Record Linkage
Record linkage is the process of matching records across data sets that refer to the same entity. One issue within record linkage is determining which record pairs to consider, si...
Matthew Michelson, Craig A. Knoblock
AIPS
2004
15 years 7 months ago
Iterative Relaxations for Iterative Flattening in Cumulative Scheduling
Cumulative scheduling is a generalization of jobshop scheduling, where machines have discrete capacities and activities may require several capacity units. This paper considers it...
Laurent Michel, Pascal Van Hentenryck