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210
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JAIR
2000
102views more  JAIR 2000»
15 years 7 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
TCAD
1998
115views more  TCAD 1998»
15 years 7 months ago
Probabilistic modeling of dependencies during switching activity analysis
—This paper addresses, from a probabilistic point of view, the issue of switching activity estimation in combinational circuits under the zero-delay model. As the main theoretica...
Radu Marculescu, Diana Marculescu, Massoud Pedram
ICFEM
2010
Springer
15 years 6 months ago
Making the Right Cut in Model Checking Data-Intensive Timed Systems
Abstract. The success of industrial-scale model checkers such as Uppaal [3] or NuSMV [12] relies on the efficiency of their respective symbolic state space representations. While d...
Rüdiger Ehlers, Michael Gerke 0002, Hans-J&ou...
IWSEC
2010
Springer
15 years 6 months ago
Optimal Adversary Behavior for the Serial Model of Financial Attack Trees
Abstract. Attack tree analysis is used to estimate different parameters of general security threats based on information available for atomic subthreats. We focus on estimating the...
Margus Niitsoo
223
Voted
JETAI
2010
115views more  JETAI 2010»
15 years 6 months ago
From soft constraints to bipolar preferences: modelling framework and solving issues
Real-life problems present several kinds of preferences. We focus on problems with both positive and negative preferences, that we call bipolar preference problems. Although seemi...
Stefano Bistarelli, Maria Silvia Pini, Francesca R...