Showing 1 - 9 of 9
Affordable higher education is, and has been, a key element of social policy in the United States with broad bipartisan support. Financial aid has substantially increased the number of people who complete university - generally thought to be a good thing. We show, however, that making education...
Persistent link: https://www.econbiz.de/10012731914
Affordable higher education is, and has been, a key element of social policy in the United States with broad bipartisan support. Financial aid has substantially increased the number of people who complete university - generally thought to be a good thing. We show, however, that making education...
Persistent link: https://www.econbiz.de/10012467810
Affordable higher education is, and has been, a key element of social policy in the United States with broad bipartisan support. Financial aid has substantially increased the number of people who complete university - generally thought to be a good thing. We show, however, that making education...
Persistent link: https://www.econbiz.de/10013237596
Persistent link: https://www.econbiz.de/10002823300
Affordable higher education is, and has been, a key element of social policy in the United States with broad bipartisan support. Financial aid has substantially increased the number of people who complete universitygenerally thought to be a good thing. We show, however, that making education...
Persistent link: https://www.econbiz.de/10002559767
Persistent link: https://www.econbiz.de/10002437812
We obtain minimax lower and upper bounds for the expected distortion redundancy of empirically designed vector quantizers. We show that the mean squared distortion of a vector quantizer designed from $n$ i.i.d. data points using any design algorithm is at least $\Omega (n^{-1/2})$ away from the...
Persistent link: https://www.econbiz.de/10005772321
Minimax lower bounds for concept learning state, for example, that for each sample size $n$ and learning rule $g_n$, there exists a distribution of the observation $X$ and a concept $C$ to be learnt such that the expected error of $g_n$ is at least a constant times $V/n$, where $V$ is the VC...
Persistent link: https://www.econbiz.de/10005772365
The classical binary classification problem is investigated when it is known in advance that the posterior probability function (or regression function) belongs to some class of functions. We introduce and analyze a method which effectively exploits this knowledge. The method is based on...
Persistent link: https://www.econbiz.de/10005572603