Results 61 to 70 of about 6,969,735 (365)

Network topology drives population temporal variability in experimental habitat networks

Population Ecology, EarlyView.
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu, J. Angus Webb, William D. Bovill, Elise L. King   +3 more
wiley   +1 more source

Dual-Regularized Feature Selection for Class-Specific and Global Feature Associations

Entropy
Understanding feature associations is vital for selecting the most informative features. Existing methods primarily focus on global feature associations, which capture overall relationships across all samples.
Chenchen Wang, Jun Wang, Yanfei Li, Chengkai Piao, Jinmao Wei   +4 more
doaj   +1 more source

Bayesian reordering model with feature selection

, 2014
In phrase-based statistical machine translation systems, variation in grammatical structures between source and target languages can cause large movements of phrases.
Alrajeh, Abdullah, Niranjan, Mahesan
core   +1 more source

The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures [PDF]

, 2011
Motivation: Biomarker discovery from high-dimensional data is a crucial problem with enormous applications in biology and medicine. It is also extremely challenging from a statistical viewpoint, but surprisingly few studies have investigated the relative
A Ivshina, Anne-Claire Haury, C Ambroise, C Fan, C Lai, C Sotiriou, C Sotiriou, F Reyal, G Abraham, H Zou, I Guyon, I Guyon, J Bi, J Mairal, J Wang, Jean-Philippe Vert, JPA Ioannidis, L Ein-Dor, L Ein-Dor, M Dai, Muy-Teck Teh, N Meinshausen, P Wirapati, Pierre Gestraud, R Kohavi, R Shen, R Simon, R Tibshirani, RA Irizarry, S Michiels, T Abeel, T Barrett, T Iwamoto, W Shi, Y Benjamini, Y Pawitan, Y Wang   +36 more
core   +5 more sources

Geographic variation in walking activity in the red flour beetle Tribolium castaneum

Population Ecology, EarlyView.
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley   +1 more source

Causal Feature Selection [PDF]

, 2007
This chapter reviews techniques for learning causal relationships from data, in application to the problem of feature selection. Most feature selection methods do not attempt to uncover causal relationships between feature and target and focus instead on making best predictions.
Constantin F. Aliferis, Isabelle Guyon, Andre´ Elisseeff   +2 more
openaire   +1 more source

Features of Selective Kinase Inhibitors [PDF]

Chemistry & Biology, 2005
Small-molecule inhibitors of protein and lipid kinases have emerged as indispensable tools for studying signal transduction. Despite the widespread use of these reagents, there is little consensus about the biochemical criteria that define their potency and selectivity in cells.
Kevan M. Shokat, Kevan M. Shokat, Zachary A. Knight   +2 more
openaire   +3 more sources

occumb: An R package for site occupancy modeling of eDNA metabarcoding data

Population Ecology, EarlyView.
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley   +1 more source

Hybrid feature selection based ScC and forward selection methods [PDF]

International Journal of Data and Network Science
Operational data is always huge. A preprocessing step is needed to prepare such data for the analytical process so the process will be fast. One way is by choosing the most effective features and removing the others. Feature selection algorithms
Luai Al-Shalabi
doaj   +1 more source

Optimal Feature Aggregation and Combination for Two-Dimensional Ensemble Feature Selection

Information, 2020
Feature selection is a way of reducing the features of data such that, when the classification algorithm runs, it produces better accuracy. In general, conventional feature selection is quite unstable when faced with changing data characteristics.
Machmud Roby Alhamidi, Wisnu Jatmiko
doaj   +1 more source