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ICML
2004
IEEE
16 years 25 days ago
Online learning of conditionally I.I.D. data
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
Daniil Ryabko
214
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ETFA
2006
IEEE
15 years 11 months ago
Non-Schedulability Conditions for Off-line Scheduling of Real-Time Systems Subject to Precedence and Strict Periodicity Constrai
Classical off-line approaches based on preemption such as RM (Rate Monotonic), DM (Deadline Monotonic), EDF (Earliest Deadline First), LLF (Least Laxity First), etc, give schedula...
Patrick Meumeu Yomsi, Yves Sorel
153
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FLAIRS
2008
15 years 9 months ago
Reasoning with Conditional Time-Intervals
Reasoning with conditional time-intervals representing activities or tasks that may or may not be executed in the final schedule is crucial in many scheduling applications. In Con...
Philippe Laborie, Jerome Rogerie
163
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ICCSA
2003
Springer
16 years 19 days ago
The p-th Order Necessary Optimality Conditions for Inequality-Constrained Optimization Problems
Abstract. In this paper, we consider a nonlinear optimization problem with inequality constraints. The paper addresses the degenerate case when the active constraint gradients are ...
Olga Brezhneva, Alexey Tret'yakov
193
Voted
FEGC
2008
84views Biometrics» more  FEGC 2008»
15 years 8 months ago
Structure Inference of Bayesian Networks from Data: A New Approach Based on Generalized Conditional Entropy
We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
Dan A. Simovici, Saaid Baraty