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FORMATS
2004
Springer
16 years 4 hour ago
Lazy Approximation for Dense Real-Time Systems
We propose an effective and complete method for verifying safety and properties of timed systems, which is based on predicate abstraction for g finite abstractions of timed autom...
Maria Sorea
CORR
2008
Springer
179views Education» more  CORR 2008»
15 years 6 months ago
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
Soummya Kar, José M. F. Moura, Kavita Raman...
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...
SOFSEM
2004
Springer
15 years 12 months ago
Avoiding Forbidden Submatrices by Row Deletions
We initiate a systematic study of the Row Deletion(B) problem on matrices: For a fixed “forbidden submatrix” B, the question is, given an input matrix A (both A and B have ent...
Sebastian Wernicke, Jochen Alber, Jens Gramm, Jion...
NIPS
1998
15 years 8 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore