There's no such thing as perfection. There's just a set of tradeoffs that for a particular purpose or observer allow you to ignore the bad and focus on the good.
least, present your state of affairs as they are. Don’t get carried away by vanity metrics such as the number of cards put to Done, but instead focus on the amount of value they brought to your customers. Don’t try to make your process look good, you will be fooling only yourself...
While this study cannot answer the related question concerning if or which specific policies are subjected to tradeoffs, to the extent that policymakers and the general public value both achievement and wellbeing, identifying and implementing policies that facilitate both should be a priority. To the...
Each comes with unique strengths and tradeoffs. The truth of the matter is that unfortunately, none of the solutions provide the silver bullet answer to scalability. In reality, each one of these solutions will help improve scalability incrementally. Combined together, there’s a promising outlook...
Everything has tradeoffs, whether you’re sacrificing operational complexity for network simplicity or trading application control for flexibility. The upside of accepting that there is no perfect network design is that you are now free to pick and choose the architectures and workflow that best fit...
In this section, we provide a theoretical framework to demon- strate that the previous fairness criteria are mutually exclusive. The impossibility of fairness in machine learning has been widely 6 The trivial biometric system is the system that only classifies or outputs one class (genuine or ...
What alternative explanations are there of the divergence between productivity and average real earnings in the US?ProductivityProductivity refers to the average output generated by an input given the costs associated with it. It is a measure of the efficiency ...
. Leveraging these empirical findings, we demonstrate how a more principled approach to data collection and model design, based on realistic settings of vulnerability prediction, can lead to better solutions. The resulting tools perform significantly better than the studied baseline: up to 33.57% ...
In presenting the final results only, it may not be clear that plugging a specific tool into a custom bash script will not always produce the same results we see here. As an example, here are the improvements in FreeBayes sensitivity and precision from our initial implementation, presented over...
District Court, Eastern District of Texas, Marshall Division Case No.:2-01CV160 filed Jul. 30, 2001. Prior Art Claims Charts, “The Asserted 5,560,028 Claims are Invalid over the IBM SCISM System,” submitted in U.S. District Court, Eastern District of Texas, Marshall Division Case ...