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» Effective linear programming based placement methods
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ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
14 years 29 days ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
KBSE
2009
IEEE
14 years 2 months ago
Inferring Method Effect Summaries for Nested Heap Regions
Effect systems are important for reasoning about the side effects of a program. Although effect systems have been around for decades, they have not been widely adopted in practice...
Mohsen Vakilian, Danny Dig, Robert L. Bocchino Jr....
ISQED
2006
IEEE
118views Hardware» more  ISQED 2006»
14 years 1 months ago
Localized On-Chip Power Delivery Network Optimization via Sequence of Linear Programming
— In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linea...
Jeffrey Fan, I-Fan Liao, Sheldon X.-D. Tan, Yici C...
SAT
2007
Springer
126views Hardware» more  SAT 2007»
14 years 1 months ago
Sensor Deployment for Failure Diagnosis in Networked Aerial Robots: A Satisfiability-Based Approach
Unmanned aerial vehicles (UAVs) represent an important class of networked robotic applications that must be both highly dependable and autonomous. This paper addresses sensor deplo...
Fadi A. Aloul, Nagarajan Kandasamy
ICML
2009
IEEE
14 years 8 months ago
Constraint relaxation in approximate linear programs
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
Marek Petrik, Shlomo Zilberstein