… : instance-based maximal boundary sets (IBMBS) and instance-based minimal boundary sets
(… The dual representation of the IBMBS, instance-based minimal boundary sets (IBmBS), is …

… Supervision is provided only for entire sets, and the individual … Illustration of two decisions
boundaries on a fictive problem. … to a supervised problem with one-sided noise which can be …

… set comes, its characteristics will be extracted and compared with the example in the knowledge
database, where the instance-based … on the complexity of class boundary, depicting the …

… set because many instances are needed to maintain the noisy (and thus overly complex)
decision boundaries. … reduced training set can be much less accurate than the full training set in …

… condition is typically inclusion in a one-sided interval. A rule is … in rules means that all decision
boundaries are parallel to the … accuracy of different rule sets on a training set, because the …

… applicability than both the boundary sets and the instance-based boundary sets. In this …
one-sided boundary sets (Hirsh, 1992) and the family of one-sided instance-based boundary sets …

… majority class, usually referred to as one-sided selection (OSS) [6]… This tends to remove the
instances furthest from the boundaries … for instancebased learning,” Mach. Learn., vol. 78, no. …

… subsets from the whole sample set. Thus, the separate-and-… can be eliminated from the set
of conditions of a classification … classification framework to generate a set of rules that are less …

… and Coverage of an instance based on the concept of NUN … optimal descriptor of the inter-class
boundaries. From Figure 1, … Addressing the curse of imbalanced training sets: one-sided …

… in poor performance near the class boundary; and secondly, … Instance-based DA involves
adjusting the weights of … as k in this research, and σ is set to one. The RBF kernel enables …