A model to predict ordinal suitability using sparse and uncertain data
We describe the development of the algorithms that comprise the Spatial Decision Support System (SDSS) CaNaSTA (Crop Niche Selection in Tropical Agriculture). The system was designed to assist farmers and agricultural advisors in the tropics to make crop suitability decisions. These decisions are fr...
| Main Authors: | Whitsed, R., Corner, Robert, Cook, S. |
|---|---|
| Format: | Journal Article |
| Published: |
Pergamon
2011
|
| Online Access: | http://hdl.handle.net/20.500.11937/15699 |
Similar Items
Stabilized sparse ordinal regression for medical risk stratification
by: Tran, The Truyen, et al.
Published: (2014)
by: Tran, The Truyen, et al.
Published: (2014)
Predicting concentrated flow erosion in data sparse regions
by: Mgbanyi, Liberty Lazarus Orapine
Published: (2020)
by: Mgbanyi, Liberty Lazarus Orapine
Published: (2020)
Modeling employments rate data using ordinal logistic regression
by: Fitrianto, Anwar, et al.
Published: (2014)
by: Fitrianto, Anwar, et al.
Published: (2014)
Material selection based on ordinal data
by: Jahan, Ali, et al.
Published: (2010)
by: Jahan, Ali, et al.
Published: (2010)
Generating correlated discrete ordinal data using R and SAS IML.
by: Ibrahim, Noor Akma, et al.
Published: (2011)
by: Ibrahim, Noor Akma, et al.
Published: (2011)
Cumulative restricted Boltzmann machines for ordinal matrix data analysis
by: Tran, Truyen, et al.
Published: (2012)
by: Tran, Truyen, et al.
Published: (2012)
Decoding earth's plate tectonic history using sparse geochemical data
by: Tetley, M.G., et al.
Published: (2020)
by: Tetley, M.G., et al.
Published: (2020)
Sparse Subspace Clustering via Group Sparse Coding
by: Budhaditya, S., et al.
Published: (2013)
by: Budhaditya, S., et al.
Published: (2013)
Ordinal reanalysis of the SHEP Trial
by: Bath, Philip M.W., et al.
Published: (2008)
by: Bath, Philip M.W., et al.
Published: (2008)
Computable social patterns from sparse sensor data
by: Phung, Dinh, et al.
Published: (2008)
by: Phung, Dinh, et al.
Published: (2008)
Statistical downscaling of rainfall data using sparse variable selection methods
by: Phatak, Aloke, et al.
Published: (2011)
by: Phatak, Aloke, et al.
Published: (2011)
Solving problems of uncertain data using fuzzy B-spline
by: Abd. Fatah Wahab,, et al.
Published: (2010)
by: Abd. Fatah Wahab,, et al.
Published: (2010)
A Comparison of Existing Co-ordinate Transformation Models and Parameters in Australia
by: Featherstone, Will
Published: (1997)
by: Featherstone, Will
Published: (1997)
The co-ordinative practices of temporary organisations
by: Peters, Linda D., et al.
Published: (2016)
by: Peters, Linda D., et al.
Published: (2016)
Identification of the continuous-time Hammerstein models with sparse measurement data using improved marine predators algorithm
by: Mohd Zaidi, Mohd Tumari, et al.
Published: (2024)
by: Mohd Zaidi, Mohd Tumari, et al.
Published: (2024)
On the sparse beamformer design
by: Gao, M., et al.
Published: (2018)
by: Gao, M., et al.
Published: (2018)
A performance analysis of prediction techniques in handling high-dimensional uncertain data for the application of skyline query over data stream
by: Mohamud, Mudathir Ahmed, et al.
Published: (2024)
by: Mohamud, Mudathir Ahmed, et al.
Published: (2024)
A performance analysis of prediction techniques in handling high-dimensional uncertain data for the application of skyline query over data stream
by: Ahmed Mohamud, Mudathir, et al.
Published: (2024)
by: Ahmed Mohamud, Mudathir, et al.
Published: (2024)
Remotely sensed hydroacoustics and observation data for predicting fish habitat suitability
by: Monk, J., et al.
Published: (2011)
by: Monk, J., et al.
Published: (2011)
Decision making for uncertain data in dynamic environment using hybrid method
by: Shahi, Ahmad, et al.
Published: (2009)
by: Shahi, Ahmad, et al.
Published: (2009)
Supervised anomaly detection in uncertain pseudoperiodic data streams
by: Ma, Jiangang, et al.
Published: (2016)
by: Ma, Jiangang, et al.
Published: (2016)
Skyline queries on data with uncertain dimensions for efficient computation
by: Mohd Saad, Nurul Husna
Published: (2018)
by: Mohd Saad, Nurul Husna
Published: (2018)
Analyses of indexing techniques on uncertain data with high dimensionality
by: Mohammed Lawal, Ma’aruf, et al.
Published: (2020)
by: Mohammed Lawal, Ma’aruf, et al.
Published: (2020)
Spatial interpolation methods for interpretation of ordination diagrams
by: Mucina, Ladislav, et al.
Published: (1991)
by: Mucina, Ladislav, et al.
Published: (1991)
The uncertain journey
by: Keane, Michael
Published: (2010)
by: Keane, Michael
Published: (2010)
Sensitivity analysis and multi-model generalised predictive control of uncertain intravenous general anaesthesia system
by: Chang, Jing Jing
Published: (2016)
by: Chang, Jing Jing
Published: (2016)
Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding
by: Ebrahim, Zuhair, et al.
Published: (2014)
by: Ebrahim, Zuhair, et al.
Published: (2014)
The probabilistic of abandoned project status using ordinal logistic regression analysis
by: Salam, Saidah An’nisaa, et al.
Published: (2023)
by: Salam, Saidah An’nisaa, et al.
Published: (2023)
Characterizations of robust solution set of convex programs with uncertain data
by: Li, X., et al.
Published: (2017)
by: Li, X., et al.
Published: (2017)
Decision to cast a vote: an ordinal regression statistical analysis
by: Lubis, Muharman, et al.
Published: (2014)
by: Lubis, Muharman, et al.
Published: (2014)
A modern-day requirement for co-ordinated covert action
by: Cormac, Rory, et al.
Published: (2016)
by: Cormac, Rory, et al.
Published: (2016)
A sequential decision approach to ordinal preferences in recommender systems
by: Tran, Truyen, et al.
Published: (2012)
by: Tran, Truyen, et al.
Published: (2012)
Sparse recovery on Euclidean Jordan algebras
by: Kong, L., et al.
Published: (2015)
by: Kong, L., et al.
Published: (2015)
Identifying prognosis factors of pathological staging among colorectal patients using ordinal logistic regression model
by: Md Ghani, Nor Azura, et al.
by: Md Ghani, Nor Azura, et al.
An efficient skyline model for processing multiple continuous skyline queries over uncertain data stream
by: Ahmed Mohamud, Mudathir, et al.
Published: (2024)
by: Ahmed Mohamud, Mudathir, et al.
Published: (2024)
Bego's future Uncertain.
by: Ajitpal, Singh
Published: (2012)
by: Ajitpal, Singh
Published: (2012)
Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse data
by: Takwoingi, Yemisi, et al.
Published: (2015)
by: Takwoingi, Yemisi, et al.
Published: (2015)
Stabilizing sparse Cox model using statistic and semantic structures in electronic medical records
by: Gopakumar, S., et al.
Published: (2015)
by: Gopakumar, S., et al.
Published: (2015)
How to compare uncertain data types: towards robust similarity measures
by: Kabir, Shaily
Published: (2020)
by: Kabir, Shaily
Published: (2020)
Probabilistic Structural Damage Identification
with Uncertain Data by Deep Learning Techniques
by: Zhong, Yue
Published: (2024)
by: Zhong, Yue
Published: (2024)
Similar Items
-
Stabilized sparse ordinal regression for medical risk stratification
by: Tran, The Truyen, et al.
Published: (2014) -
Predicting concentrated flow erosion in data sparse regions
by: Mgbanyi, Liberty Lazarus Orapine
Published: (2020) -
Modeling employments rate data using ordinal logistic regression
by: Fitrianto, Anwar, et al.
Published: (2014) -
Material selection based on ordinal data
by: Jahan, Ali, et al.
Published: (2010) -
Generating correlated discrete ordinal data using R and SAS IML.
by: Ibrahim, Noor Akma, et al.
Published: (2011)