Often, the information contained in network data is incomplete. Many avenues of research are aimed at addressing this incompleteness. For example, the link prediction problem attempts to identify which missing links are most likely to exist in the complete network. In this paper, we consider a related, but different, problem: predicting the directions of links in a directed network. We treat th...

The conventional reinforcement learning assumes discrete state space. Therefore, it is necessary to make states discrete in order to handle continuous state environments. However, if a simple discretization is applied, the number of states increases exponentially with the dimension of the state space, and the learning time increases. In this paper, we propose a state generalization that is able...

State space generation suffers from the typical combinatorial explosion problem when dealing with industrial specifications. In particular, memory consumption while storing the state space must be tackled to verify safety properties. Decision Diagrams are a way to tackle this problem. However, their performance strongly rely on the way variables encode a system. Another way to fight combinatori...

A robust and accurate image recognizer for cephalometric landmarking is presented. The recognizer uses Support Vector Machine (SVM) to model discrimination boundaries between different landmarks and also between the background frames. Large Margin Classification with non-linear kernels allows to extract relevant details from the landmarks, approaching human expert levels of recognition. In conj...

This paper discusses the definition of the state space and corresponding choice sets that figure in the theory of decision making under uncertainty. It elucidates an approach that overcomes some conceptual difficulties with the standard models and accommodates a procedure for expanding the state space in the wake of growing awareness.

In this paper, a new method to analyze the input-output pairing for uncertain multivariable plants is proposed. Here, Hankel Interaction Index Array is used to choose the appropriate input-output pair and a theorem will be presented to show the effect of additive uncertainties on input-output pairing of the system. In this theorem a new approach to compute the variation bound of Hankel Interact...

People model other people’s mental states in order to understand and predict their behavior. Sometimes they model what others think about them as well: “He thinks that I intend to stop.” Such second-order theory of mind is needed to navigate some social situations, for example, to make optimal decisions in turn-taking games. Adults sometimes find this very difficult. Sometimes they make decisio...

OBJECTIVE To determine the relationship between maternal attachment, perceived social support and breast-feeding sufficiency. STUDY DESIGN Descriptive correlational design. PLACE AND DURATION OF STUDY A state hospital and two family health centers in Sakarya, Turkey, between June to December 2011. METHODOLOGY The sample was 122 voluntary mothers who had healthy babies of 1 - 2 months old....

TRECVID (TREC Video Retrieval Evaluation) is sponsored by NIST to encourage research in digital video indexing and retrieval. It was initiated in 2001 as a “video track” of TREC and became an independent evaluation in 2003. AT&T participated in three tasks in TRECVID 2006: shot boundary determination (SBD), search, and rushes exploitation. The proposed SBD algorithm contains a set of finite sta...