Publications by Joel Cadwell
When Choice Modeling Paradigms Collide: Features Presented versus Features Perceived
What is the value of a product feature? Within a market-based paradigm, the answer is the difference between revenues with and without the feature. A product can be decomposed into its features, each feature can be assigned a monetary value by including price in the feature list, and the final worth of the product is a function of its...
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The Mad Hatter Explains Support Vector Machines
“Hatter?” asked Alice, “Why are support vector machines so hard to understand?” Suddenly, before you can ask yourself why Alice is studying machine learning in the middle of the 19th century, the Hatter disappeared. “Where did he go?” thought Alice as she looked down to see a compass painted on the floor below her. Arrows pointed in e...
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The Mad Hatter Explains Support Vector Machines
“Hatter?” asked Alice, “Why are support vector machines so hard to understand?” Suddenly, before you can ask yourself why Alice is studying machine learning in the middle of the 19th century, the Hatter disappeared. “Where did he go?” thought Alice as she looked down to see a compass painted on the floor below her. Arrows pointed in e...
3334 sym 2 img
The Kernel Trick in Support Vector Machines: Seeing Similarity in More Intricate Dimensions
The “kernel” is the seed or the essence at the heart or the core, and the kernel function measures distance from that center. In the following example from Wikipedia, the kernel is at the origin and the different curves illustrate alternative depictions of what happens as we move away from zero.At what temperature do you prefer yo...
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The Kernel Trick in Support Vector Machines: Seeing Similarity in More Intricate Dimensions
The “kernel” is the seed or the essence at the heart or the core, and the kernel function measures distance from that center. In the following example from Wikipedia, the kernel is at the origin and the different curves illustrate alternative depictions of what happens as we move away from zero.At what temperature do you prefer yo...
5737 sym 2 img
Using Support Vector Machines as Flower Finders: Name that Iris!
Nature field guides are filled with pictures of plants and animals that teach us what to look for and how to name what we see. For example, a flower finder might display pictures of different iris species, such as the illustrations in the plot below. You have in hand your own specimen from your garden, and you carefully compare it to each of the ...
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Using Support Vector Machines as Flower Finders: Name that Iris!
Nature field guides are filled with pictures of plants and animals that teach us what to look for and how to name what we see. For example, a flower finder might display pictures of different iris species, such as the illustrations in the plot below. You have in hand your own specimen from your garden, and you carefully compare it to each of the ...
4463 sym R (698 sym/1 pcs) 2 img
Building the Data Matrix for the Task at Hand and Analyzing Jointly the Resulting Rows and Columns
Someone decided what data ought to go into the matrix. They placed the objects of interest in the rows and the features that differentiate among those objects into the columns. Decisions were made either to collect information or to store what was gathered for other purposes (e.g., data mining).A set of mutually constraining choices determines wh...
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Building the Data Matrix for the Task at Hand and Analyzing Jointly the Resulting Rows and Columns
Someone decided what data ought to go into the matrix. They placed the objects of interest in the rows and the features that differentiate among those objects into the columns. Decisions were made either to collect information or to store what was gathered for other purposes (e.g., data mining).A set of mutually constraining choices determines wh...
8710 sym R (379 sym/1 pcs) 6 img