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ICML
2006
IEEE
14 years 8 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
ATVA
2011
Springer
254views Hardware» more  ATVA 2011»
12 years 7 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
CSE
2009
IEEE
14 years 2 months ago
Noise Injection for Search Privacy Protection
Abstract—Extensive work has been devoted to private information retrieval and privacy preserving data mining. To protect user privacy from search engines, however, most current a...
Shaozhi Ye, Shyhtsun Felix Wu, Raju Pandey, Hao Ch...
DAC
2006
ACM
14 years 8 months ago
Early cutpoint insertion for high-level software vs. RTL formal combinational equivalence verification
Ever-growing complexity is forcing design to move above RTL. For example, golden functional models are being written as clearly as possible in software and not optimized or intend...
Xiushan Feng, Alan J. Hu