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ICCAD
1996
IEEE
80views Hardware» more  ICCAD 1996»
14 years 1 months ago
Generalized constraint generation in the presence of non-deterministic parasitics
In a constraint-drivenlayout synthesisenvironment,parasitic constraints are generated and implemented in each phase of the design process to meet a given set of performance specif...
Edoardo Charbon, Paolo Miliozzi, Enrico Malavasi, ...
AMC
2006
107views more  AMC 2006»
13 years 9 months ago
Linear bilevel programming with upper level constraints depending on the lower level solution
Focus in the paper is on the definition of linear bilevel programming problems, the existence of optimal solutions and necessary as well as sufficient optimality conditions. In th...
Ayalew Getachew Mersha, Stephan Dempe
ICML
2004
IEEE
14 years 10 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
14 years 1 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
COLT
2000
Springer
14 years 1 months ago
On the Learnability and Design of Output Codes for Multiclass Problems
Output coding is a general framework for solving multiclass categorization problems. Previous research on output codes has focused on building multiclass machines given predefine...
Koby Crammer, Yoram Singer