In many applications, there are multiple time series that are hierarchically organized and can be aggregated at several different levels in groups based on products, geography or some other features. We call these “hierarchical time series”. They are commonly forecast using either a “bottom-up” or a “top-down” method. In this paper we propose a new approach to hierarchical forecasting which pro...

According to Beck's cognitive model of depression the activation of dysfunctional beliefs triggers negative automatic thoughts, which can be interpreted as the proximal "cause" for emotional, somatic, and motivational symptoms of depression. This top-down processes of beliefs causing thoughts and furthermore of thoughts causing symptoms can be called "cognitive hierarchy." Besides these process...

Telecommunication systems are large and complex, consisting of multiple intelligent modules in shelves, multiple shelves in frames, and multiple frames to compose a single network element. In the availability and performability analysis of such a complex system, combinatorial models are computationally efficient but have limited expressive power. State-based models are expressive but computatio...

Based on the hierarchy exhibited by quarks masses at low energies, we assume that Yukawa couplings of up and down quarks are related by Yu ∝ Y 2 d at grand unification scales. This ansatz gives rise to a symmetrical CKM matrix at the grand unification (GU) scale. Using three specific models as illustrative examples for the evolution down to low energies, we obtain the entries and asymmetries of...

We present a method that automatically classifies structured deep Web databases according to a pre-defined topic hierarchy. We assume that there are some manually classified databases, i.e., training databases, in every node of the topic hierarchy. Each training database is probed using queries constructed from the node titles of the topic hierarchy and the query result counts reported by the d...

We present a connectionist method for representing images that explicitly addresses their hierarchical nature. It blends data from neuroscience about whole-object viewpoint sensitive cells in inferotemporal cortex and attentional basiseld modulation in V4 with ideas about hierarchical descriptions based on microfeatures. The resulting model makes critical use of bottom-up and top-down pathways ...

International Classification of Diseases (ICD) is a set classification codes for medical records. Automated ICD coding, which assigns unique with each record, widely used recently its efficiency and error-prone avoidance. However, there are challenges that remain such as heterogeneity, label unbalance, complex relationships between codes. In this work, we proposed novel Bidirectional Hierarchy ...

ion path to follow in the Factor Hierarchy and how abstractly to characterize a distinguishing factor. One wants to characterize a distinction broadly enough to take advantage of all relevant contrasting and corroborating factors. One also wants to focus on distinctions that hold up at more abstract levels and avoid characteriziations so broad as to destroy the contrast or allow obvious objecti...