How to get a free lunch: A simple cost model for machine learning applications

@misc{citeulike:2516472, abstract = {This paper proposes a simple cost model for machine learning applications based on the notion of net present value. The model extends and unifies the models used in (Pazzani et al., 1994) and (Masand \& Piatetsky-Shapiro, 1996). It attempts to answer the question \"Should a given machine learning system now in the prototype stage be fielded?\" The model's inputs are the system's confusion matrix, the cash flow matrix for the application, the cost per decision, the one-time cost of deploying the...}, author = {Domingos, P. }, citeulike-article-id = {2516472}, keywords = {learning}, posted-at = {2008-03-11 20:06:16}, priority = {2}, title = {How to get a free lunch: A simple cost model for machine learning applications}, url = {http://citeseer.ist.psu.edu/195499.html}, year = {1998} }

TY - GEN ID - citeulike:2516472 L3 - citeulike-article-id:2516472 TI - How to get a free lunch: A simple cost model for machine learning applications N2 - This paper proposes a simple cost model for machine learning applications based on the notion of net present value. The model extends and unifies the models used in (Pazzani et al., 1994) and (Masand & Piatetsky-Shapiro, 1996). It attempts to answer the question "Should a given machine learning system now in the prototype stage be fielded?" The model's inputs are the system's confusion matrix, the cash flow matrix for the application, the cost per decision, the one-time cost of deploying the... KW - learning AU - Domingos, P PY - 1998/// UR - http://citeseer.ist.psu.edu/195499.html ER -