Classifiers in Almost Empty Spaces

Hierarchical Behavior Knowledge Space

In this paper we present a new method for fusing classifiers output for problems with a number of classes M > 2. We extend the well-known Behavior Knowledge Space method with a hierarchical approach of the different cells. We propose to add the ranking information of the classifiers output for the combination. Each cell can be divided into new sub-spaces in order to solve ambiguities. We show t...

Unanimous Voting using Support Vector Machines

This paper proposes a new approach to classification reliability. The key idea is to maintain version spaces containing (close approximations of) the target classifiers. In this way the unanimous-voting rule applied on these version spaces outputs reliable instance classifications. Version spaces are defined in a hypothesis space of oriented hyperplanes. The unanimous-voting rule is implemented...

From Almost Empty to Half Full? A Response to Recent Commentaries

Investigating the typology of filled and empty spaces in the structure of native houses of cold climate (case study of Tabriz)

Abstract Indigenous Iranian architecture is a valuable treasure of physical design criteria and methods that have been formed in accordance with the geographical, cultural, living and climatic characteristics, according to the available facilities, and understand the coexistence of humans and the environment as a two-way relationship; Meanwhile, while the speed of change in the old texture of ...

On the Spaces of $lambda _{r}$-almost Convergent and $lambda _{r}$-almost Bounded Sequences

The aim of the present work is to introduce the concept of $lambda _{r}$-almost convergence of sequences. We define the spaces $fleft( lambda _{r}right) $ and $f_{0}left( lambda _{r}right) $ of $ lambda _{r}$-almost convergent and $lambda _{r}$-almost null sequences. We investigate some inclusion relations concerning those spaces with examples and we determine the $beta $- and $gamma $-duals of...