Sciweavers

454 search results - page 50 / 91
» On improving approximate solutions by evolutionary algorithm...
Sort
View
ISCAS
2008
IEEE
217views Hardware» more  ISCAS 2008»
15 years 8 months ago
Approximate L0 constrained non-negative matrix and tensor factorization
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
Morten Mørup, Kristoffer Hougaard Madsen, L...
EVOW
2006
Springer
15 years 5 months ago
Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob...
Marc Schoenauer, Pierre Savéant, Vincent Vi...
CORR
2011
Springer
209views Education» more  CORR 2011»
14 years 5 months ago
Analysis and Improvement of Low Rank Representation for Subspace segmentation
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Siming Wei, Zhouchen Lin
SIGMOD
1999
ACM
101views Database» more  SIGMOD 1999»
15 years 5 months ago
Join Synopses for Approximate Query Answering
In large data warehousing environments, it is often advantageous to provide fast, approximate answers to complex aggregate queries based on statistical summaries of the full data....
Swarup Acharya, Phillip B. Gibbons, Viswanath Poos...
ACL
2006
15 years 2 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu