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NIPS
2007
15 years 1 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ICRA
1994
IEEE
81views Robotics» more  ICRA 1994»
15 years 3 months ago
Finding All Gravitationally Stable Orientations of Assemblies
Previous work by Mattikalli et al.[1] considered the stability of assemblies of frictionless contacting bodies with uniform gravity. A linear programming-based technique was descr...
Raju Mattikalli, David Baraff, Pradeep K. Khosla
75
Voted
DBPL
1991
Springer
92views Database» more  DBPL 1991»
15 years 3 months ago
A Remote Execution Mechanism For Distributed Homogeneous Stable Stores
Persistent languages and systems provide the ability to create and manipulate all data in a uniform manner regardless of how long it persists. Such systems are usually implemented...
Alan Dearle, John Rosenberg, Francis Vaughan
AICCSA
2006
IEEE
106views Hardware» more  AICCSA 2006»
15 years 5 months ago
Stable Analysis Patterns
Software analysis patterns are believed to play a major role in reducing the cost and condensing the time of software product lifecycles. However, analysis patterns have not reali...
Haitham S. Hamza, Mohamed E. Fayad
LANMR
2007
15 years 1 months ago
Generating maximal models using the stable model semantics
Given a propositional formula X, we present a mapping that constructs a general program P, such that the maximal models of X correspond to the stable models of P, after intersectin...
Juan Carlos Nieves, Mauricio Osorio