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» A Theory of Inferred Causation
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NIPS
2008
15 years 1 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
FLAIRS
2004
15 years 1 months ago
Inducing Fuzzy Decision Trees in Non-Deterministic Domains using CHAID
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
Jay Fowdar, Zuhair Bandar, Keeley A. Crockett
SIGIR
2010
ACM
14 years 12 months ago
Score distribution models: assumptions, intuition, and robustness to score manipulation
Inferring the score distribution of relevant and non-relevant documents is an essential task for many IR applications (e.g. information filtering, recall-oriented IR, meta-search,...
Evangelos Kanoulas, Keshi Dai, Virgiliu Pavlu, Jav...
BMCBI
2010
147views more  BMCBI 2010»
14 years 12 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
SIGMETRICS
2008
ACM
101views Hardware» more  SIGMETRICS 2008»
14 years 11 months ago
How to parameterize models with bursty workloads
Although recent advances in theory indicate that burstiness in the service time process can be handled effectively by queueing models (e.g., MAP queueing networks [2]), there is a...
Giuliano Casale, Ningfang Mi, Ludmila Cherkasova, ...