This paper surveys the field of reinforcement learning from a computer-science perspective.
It is written to be accessible to researchers familiar with machine learning. Both the historical …

Accurate traffic classification is of fundamental importance to numerous other network activities,
from security monitoring to accounting, and from Quality of Service to providing operators …

Background New drug treatments, clinical trials, and standards of quality for assessment of
evidence justify an update of evidence-based recommendations for the pharmacological …

Systematic improvements in algorithmic design of regional ocean circulation models have
led to significant enhancement in simulation ability across a wide range of space/time scales …

Despite its popularity for general clustering, K-means suffers three major shortcomings; it
scales poorly computationally, the number of clusters K has to be supplied by the user, and the …

ContextAcute aortic dissection is a life-threatening medical emergency associated with high
rates of morbidity and mortality. Data are limited regarding the effect of recent imaging and …

Climate variability in the Indian Ocean region seems to be, in some aspects, independent of
forcing by external phenomena such as the El Niño/Southern Oscillation 1 , 2 , 3 , 4 . But the …

One way to ensure adequate sensitivity for analgesic trials is to test the intervention on patients
who have established pain of moderate to severe intensity. The usual criterion is at least …

Background Philadelphia chromosome–like acute lymphoblastic leukemia (Ph-like ALL) is
characterized by a gene-expression profile similar to that of BCR–ABL1–positive ALL, …

This paper surveys locally weighted learning, a form of lazy learning and memory-based
learning, and focuses on locally weighted linear regression. The survey discusses distance …