[PDF][PDF] Using and combining predictors that specialize
Y Freund, RE Schapire, Y Singer… - Proceedings of the twenty …, 1997 - dl.acm.org
We study online learning algorithms that predict by combining the predictions of severrd
subordinate prediction algorithms, sometimes crdled “experts.“These simple algorithms
belong to the multiplicative weights family of algorithms. The performance of these
algorithms degrades only logarithmically with the number of experts, making them
particularly useful in applications where the number of experts is very large. However, in
applications such as text categorization, it is often natural for some of the experts to abstain …
subordinate prediction algorithms, sometimes crdled “experts.“These simple algorithms
belong to the multiplicative weights family of algorithms. The performance of these
algorithms degrades only logarithmically with the number of experts, making them
particularly useful in applications where the number of experts is very large. However, in
applications such as text categorization, it is often natural for some of the experts to abstain …
[PDF][PDF] Using and combining predictors that specialize
YFRES YoramSinger, MK Warmuth - cseweb.ucsd.edu
We study online learning algorithms that predict by combining the predictions of several
subordinate prediction algorithms, sometimes called “experts.” These simple algorithms
belong to the multiplicative weights family of algorithms. The performance of these
algorithms degrades only logarithmically with the number of experts, making them
particularly useful in applications where the number of experts is very large. However, in
applications such as text categorization, it is often natural for some of the experts to abstain …
subordinate prediction algorithms, sometimes called “experts.” These simple algorithms
belong to the multiplicative weights family of algorithms. The performance of these
algorithms degrades only logarithmically with the number of experts, making them
particularly useful in applications where the number of experts is very large. However, in
applications such as text categorization, it is often natural for some of the experts to abstain …