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154views
14 years 6 months ago
Preference elicitation and inverse reinforcement learning
We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous w...
Constantin Rothkopf, Christos Dimitrakakis
130
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CCS
2009
ACM
15 years 10 months ago
Learning your identity and disease from research papers: information leaks in genome wide association study
Genome-wide association studies (GWAS) aim at discovering the association between genetic variations, particularly single-nucleotide polymorphism (SNP), and common diseases, which...
Rui Wang, Yong Fuga Li, XiaoFeng Wang, Haixu Tang,...
139
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BTW
2009
Springer
132views Database» more  BTW 2009»
15 years 8 months ago
A Bayesian Approach to Estimating the Selectivity of Conjunctive Predicates
: Cost-based optimizers in relational databases make use of data statistics to estimate intermediate result cardinalities. Those cardinalities are needed to estimate access plan co...
M. Heimel, Volker Markl, Keshava Murthy
PSD
2004
Springer
108views Database» more  PSD 2004»
15 years 9 months ago
Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience
The development of new disclosure protection techniques is useful only insofar as those techniques are adopted by statistical agencies. In order for technical experts in disclosure...
Nicholas H. Greenia
148
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IPMI
2003
Springer
16 years 4 months ago
Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation
Abstract. We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator ...
Jie Zhang, Anand Rangarajan