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ICML
2007
IEEE
16 years 7 months ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
ICML
2004
IEEE
16 years 7 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
WISE
2009
Springer
16 years 3 months ago
Formal Identification of Right-Grained Services for Service-Oriented Modeling
Identifying the right-grained services is important to lead the successful service orientation because it has a direct impact on two major goals: the composability of loosely-coupl...
Yukyong Kim, Kyung-Goo Doh
DALT
2004
Springer
15 years 10 months ago
Modeling and Verification of Distributed Autonomous Agents Using Logic Programming
Systems of autonomous agents providing automated services over the Web are fast becoming a reality. Often these agent systems are constructed using procedural architectures that pr...
L. Robert Pokorny, C. R. Ramakrishnan
PERVASIVE
2006
Springer
15 years 6 months ago
Modeling Human Behavior from Simple Sensors in the Home
Pervasive sensors in the home have a variety of applications including energy minimization, activity monitoring for elders, and tutors for household tasks such as cooking. Many of ...
Ryan Aipperspach, Elliot Cohen, John F. Canny