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PRL
2011
14 years 4 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
AAAI
2011
14 years 1 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
TIME
2008
IEEE
15 years 8 months ago
Time Aware Mining of Itemsets
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
Bashar Saleh, Florent Masseglia
ICCAD
2007
IEEE
234views Hardware» more  ICCAD 2007»
15 years 5 months ago
Finding linear building-blocks for RTL synthesis of polynomial datapaths with fixed-size bit-vectors
Abstract: Polynomial computations over fixed-size bitvectors are found in many practical datapath designs. For efficient RTL synthesis, it is important to identify good decompositi...
Sivaram Gopalakrishnan, Priyank Kalla, M. Brandon ...
PVLDB
2008
134views more  PVLDB 2008»
15 years 1 months ago
Evita raced: metacompilation for declarative networks
Declarative languages have recently been proposed for many new applications outside of traditional data management. Since these are relatively early research efforts, it is import...
Tyson Condie, David Chu, Joseph M. Hellerstein, Pe...