Over the past two decades, one-class classification (OCC) becomes very popular due to its
diversified applicability in data mining and pattern recognition problems. Concerning to …

Fullerenes are carbon molecules that form polyhedral cages. Their bond structures are
exactly the planar cubic graphs that have only pentagon and hexagon faces. Strikingly, a …

Over the last decade, many power systems have significantly changed with the proliferation
of renewable generation sources, such as wind and solar photovoltaic. Due to their …

A major research direction in contextual bandits is to develop algorithms that are
computationally efficient, yet support flexible, general-purpose function approximation …

The paradigm of coresets has recently emerged as a powerful tool for efficiently
approximating various extent measures of a point set P. Using this paradigm, one quickly …

The problem of maximizing a concave function f (x) in the unit simplex Δ can be solved
approximately by a simple greedy algorithm. For given k, the algorithm can find a point x (k) …

In this book common sense computing techniques are further developed and applied to
bridge the semantic gap between word-level natural language data and the concept-level …

We present a general technique for approximating various descriptors of the extent of a set P
of n points in R d when the dimension d is an arbitrary fixed constant. For a given extent …

In this paper, we consider the following inverse maintenance problem: given A∈ R n× d and
a number of rounds r, at round k, we receive anxn diagonal matrix D (k) and we wish to …

This paper proposes a data-driven optimization method to solve the integrated energy and
reserve dispatch problem with variable and correlated renewable energy generation. The …