Genetic_Programming_Theory_and_Practice_XIII
188 N.F. McPhee et al. While this sort of aggregate reporting is often valuable, allowing for important comparative analysis, it ...
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs 189 3.1 Neo4j and Cypher Graph databases (Robinson et ...
190 N.F. McPhee et al. is being used as the instruction source. For every alternation event there’s a small chance of slightly s ...
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs 191 3.4 Replace-Space-with-Newline The replace-space-w ...
192 N.F. McPhee et al. 4.1 Working Backwards A natural place to start our analysis is at the end of the run, when the GP system ...
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs 193 Figure 1 , however, only tells us how many offspri ...
194 N.F. McPhee et al. Ta b l e 1 The total error and rank (by total error) in the population in that individual’s generation fo ...
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs 195 of the individuals involved is beyond the scope of ...
196 N.F. McPhee et al. Gen 142 Gen 143 Gen 144 Gen 145 Gen 146 Gen 147 Gen 148 Gen 149 Gen 150 3 5 3 2 2 3 2 3 3 2 2 2 2 2 2 Fig ...
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs 197 Ta b l e 2 Two examples of the impact of selection ...
198 N.F. McPhee et al. next generation. 22 of those 71 individuals had over 900 offspring, with the biggest winners being two in ...
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs 199 7 So What Did We Learn In All This? In this chapte ...
200 N.F. McPhee et al. the SPARQL query language (Wikipedia2015b), for example, includes support for queries across multiple end ...
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs 201 Kuber K, Card SW, Mehrotra KG, Mohan CK (2014) Anc ...
Predicting Product Choice with Symbolic Regression and Classification Philip Truscott and Michael F. Korns Abstract Market resea ...
204 P. Truscott and M.F. Korns 1 Introduction Market research has a long history of attempting to evaluate the importance of pro ...
Predicting Product Choice with Symbolic Regression and Classification 205 Ta b l e 1 Illustrative mobile phone attributes a plu ...
206 P. Truscott and M.F. Korns Ta b l e 2 Market shares from direct choice task and utility summation collected. The first row s ...
Predicting Product Choice with Symbolic Regression and Classification 207 product search process are discrete categorical values ...
208 P. Truscott and M.F. Korns 6 Training and Testing Data Initial training runs used data for all respondents, however this mea ...
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