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Does the Lean Inception Methodology Contribute to the Software Project Initiation Phase?

, , , and . ICCSA (6), volume 12254 of Lecture Notes in Computer Science, page 741-752. Springer, (2020)

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Statistical and Heuristic Model Selection in Regularized Least-Squares., and . BRACIS, page 231-236. IEEE Computer Society, (2013)A Note on Parameter Selection for Support Vector Machines., , , and . MICAI (2), volume 8266 of Lecture Notes in Computer Science, page 233-244. Springer, (2013)Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification., , and . BRACIS (2), volume 12320 of Lecture Notes in Computer Science, page 426-441. Springer, (2020)A Constructive Setting for the Problem of Density Ratio Estimation., , and . SDM, page 434-442. SIAM, (2014)Improving the kernel regularized least squares method for small-sample regression., and . Neurocomputing, (2015)Does the Lean Inception Methodology Contribute to the Software Project Initiation Phase?, , , and . ICCSA (6), volume 12254 of Lecture Notes in Computer Science, page 741-752. Springer, (2020)Stochastic Density Ratio Estimation and Its Application to Feature Selection.. IJCAI, page 4345-4346. AAAI Press, (2015)Constructive setting for problems of density ratio estimation., , and . Stat. Anal. Data Min., 8 (3): 137-146 (2015)A Constructive Density-Ratio Approach to Mutual Information Estimation: experiments in feature selection.. J. Inf. Data Manag., 5 (1): 134-143 (2014)Estimação estocástica da razão de densidades e sua aplicação em seleção de atributos (Stochastic density ratio estimation and its application to feature selection).. University of São Paulo, Brazil, (2014)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-07042015-142545).