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» Learning Weighted Automata
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SIGCSE
2009
ACM
155views Education» more  SIGCSE 2009»
14 years 10 months ago
Increasing engagement in automata theory with JFLAP
We describe the results from a two-year study with fourteen universities on presenting formal languages in a more visual, interactive and applied manner using JFLAP. In our result...
Susan H. Rodger, Eric Wiebe, Kyung Min Lee, Chris ...
ATVA
2011
Springer
254views Hardware» more  ATVA 2011»
12 years 10 months ago
Formal Analysis of Online Algorithms
In [AKL10], we showed how viewing online algorithms as reactive systems enables the application of ideas from formal verification to the competitive analysis of online algorithms....
Benjamin Aminof, Orna Kupferman, Robby Lampert
NETWORKING
2007
13 years 11 months ago
Reinforcement Learning-Based Load Shared Sequential Routing
We consider event dependent routing algorithms for on-line explicit source routing in MPLS networks. The proposed methods are based on load shared sequential routing in which load ...
Fariba Heidari, Shie Mannor, Lorne Mason
COLT
2005
Springer
14 years 3 months ago
Leaving the Span
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
Manfred K. Warmuth, S. V. N. Vishwanathan
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
14 years 3 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...