Results 51 to 60 of about 65,050 (262)
Learning Transformations for Classification Forests
This work introduces a transformation-based learner model for classification forests. The weak learner at each split node plays a crucial role in a classification tree. We propose to optimize the splitting objective by learning a linear transformation on subspaces using nuclear norm as the optimization criteria.
Qiang Qiu 0001, Guillermo Sapiro
openaire +2 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Characterizing forest fragmentation : Distinguishing change in composition from configuration
This project was funded by the Government of Canada through the Mountain Pine Beetle Program, a three-year, $100 million program administered by Natural Resources Canada, Canadian Forest Service. Additional information on the Mountain Pine Beetle Program
Wulder, M.A., Long, J.A., Nelson, T.A.
core +1 more source
Forest change mapping in northeast China using SAR and INSAR data [PDF]
One of the objectives of Forest Dragon 2 project is the generation of a forest cover change map between 1990s and 2000s for Northeast China based on ERS-1/2 tandem data and ENVISAT ASAR data.
Leiterer, Reik +9 more
core +1 more source
Forest ecosystems are important for biodiversity conservation, climate regulation and climate change mitigation, soil and water protection, and the recreation and provision of raw materials.
Patrizia Gasparini +4 more
doaj +1 more source
A forest management plan based on ecological principles and forest management sustainability was elaborated for the Domogt Sharyn Gol Company, Mongolia. We presented possibility of use of principles and methods traditionally utilized in forest management
Smola Martin +4 more
doaj +1 more source
Background Tropical forests are critical for the global carbon budget, yet they have been threatened by deforestation and forest degradation by fire, selective logging, and fragmentation. Existing uncertainties on land cover classification and in biomass
Ekena Rangel Pinagé +5 more
doaj +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
CHIRPS: Explaining random forest classification [PDF]
AbstractModern machine learning methods typically produce “black box” models that are opaque to interpretation. Yet, their demand has been increasing in theHuman-in-the-Loopprocesses, that is, those processes that require a human agent to verify, approve or reason about the automated decisions before they can be applied.
Julian Hatwell +2 more
openaire +2 more sources
During the last decades, Caspian forests have been attacked by human interference. Easy access, abundance and diversity of valuable forest products have led to the increase in population density, the creation of new residential areas and the activity of ...
Mohammadreza Tabesh +4 more
doaj +1 more source

