Supervised Scoring with Monotone Multidimensional Splines
Authors: Abraham Othman
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | The method is used in practice to create the LEED Performance scores that gauge building sustainability. In this section we demonstrate our method graphically on a toy example. |
| Researcher Affiliation | Collaboration | Abraham Othman U.S. Green Building Council aothman@cs.cmu.edu |
| Pseudocode | No | The paper describes the mathematical approach and constraints but does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper mentions using a "reference set of buildings" and a "toy example" with specific points, but it does not provide any concrete access information (link, DOI, repository, or formal citation with author/year) for a publicly available dataset. |
| Dataset Splits | No | The paper describes an interpolative approach and does not mention specific training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide any specific hardware details (like GPU/CPU models or processor types) used for running its experiments or demonstrations. |
| Software Dependencies | No | The paper discusses mathematical concepts but does not provide specific ancillary software details (e.g., library or solver names with version numbers) needed to replicate the experiment. |
| Experiment Setup | Yes | Consider the following reference set: (0, 0) 7 0 (1, 0) 7 20 (0, 2) 7 50 (3, 1) 7 60 (3, 3) 7 90 (4, 4) 7 100 with the relationship vector {1, 1} and values restricted to [0, 100]. |