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» On the Convergence of Bound Optimization Algorithms
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CORR
2010
Springer
148views Education» more  CORR 2010»
15 years 1 months ago
A Unifying View of Multiple Kernel Learning
Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different for...
Marius Kloft, Ulrich Rückert, Peter L. Bartle...
175
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ICCAD
1997
IEEE
101views Hardware» more  ICCAD 1997»
15 years 11 months ago
Minimum area retiming with equivalent initial states
Traditional minimum area retiming algorithms attempt to achieve their prescribed objective with no regard to maintaining the initial state of the system. This issue is important f...
Naresh Maheshwari, Sachin S. Sapatnekar
ICML
2010
IEEE
15 years 7 months ago
Internal Rewards Mitigate Agent Boundedness
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Jonathan Sorg, Satinder P. Singh, Richard Lewis
STACS
2005
Springer
16 years 3 days ago
Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Petros Drineas, Ravi Kannan, Michael W. Mahoney
DAC
1997
ACM
15 years 10 months ago
System-Level Synthesis of Low-Power Hard Real-Time Systems
We present a system-level approach for power optimization under a set of user specified costs and timing constraints of hard real-time designs. The approach optimizes all three d...
Darko Kirovski, Miodrag Potkonjak