TL;DR: Empirical evaluation over a broad range of multi-label datasets with a variety of evaluation metrics demonstrates the competitiveness of the chaining method against related and state-of-the-art methods, both in terms of predictive performance and time complexity.
Abstract: The widely known binary relevance method for multi-label classification, which considers each label as an independent binary problem, has been sidelined in the literature due to the perceived inadequacy of its label-independence assumption. Instead, most current methods invest considerable complexity to model interdependencies between labels. This paper shows that binary relevance-based methods have much to offer, especially in terms of scalability to large datasets. We exemplify this with a novel chaining method that can model label correlations while maintaining acceptable computational complexity. Empirical evaluation over a broad range of multi-label datasets with a variety of evaluation metrics demonstrates the competitiveness of our chaining method against related and state-of-the-art methods, both in terms of predictive performance and time complexity.
TL;DR: A behavioural approach to information retrieval system design is outlined based on the derivation of a behavioural model of the information seeking patterns of academic social scientists, and the extent to which these characteristics are available on existing systems is considered.
Abstract: A behavioural approach to information retrieval system design is outlined based on the derivation of a behavioural model of the information seeking patterns of academic social scientists. The information seeking patterns of a variety of academic social scientists were broken down into six characteristics: starting, chaining, browsing, differentiating, monitoring, and extracting. These characteristics constitute the principal generic features of the different individual patterns, and together provide a flexible behavioural model for information retrieval system design. The extent to which these characteristics are available on existing systems is considered, and the requirements for implementing the features on an experimental system are set out.
TL;DR: A behavioral style of analysis emphasizes the frequency of behavior as the primary datum, while the particular categories of behavior whose frequency is to be accounted for are sought from the clinical literature or from common experience as discussed by the authors.
Abstract: Depression, like infantile autism (Ferster, 1961), appears to be an especially appropriate field for the behavioral psychologist because of the missing items of behavior that are so prominent. The behavioral style of analysis emphasizes the frequency of behavior as the primary datum, while the particular categories of behavior whose frequency is to be accounted for are sought from the clinical literature or from common experience. A behavioral approach is useful for communicating, clarifying, and making objective knowledge of human behavior that has been discovered clinically or experientially. Thus, the behavior analysis may be used to complement rather than substitute for clinical knowledge (Ferster, 1972). This approach is derived from Skinner's functional analysis of behavior, particularly in his book Science and Human Behavior (Skinner, 1957). Especially in the chapters analyzing self-control, education, religion, government and law, and social behavior, Skinner defines the major kinds of activities that characterize various performances and seeks the variables that account for and influence their frequency. Ferster has provided more details of a functional analysis of self-control (Ferster, 1962) and childhood psychosis (Ferster, 1961). The first task in a behavioral analysis is to define behavior objectively, emphasizing functional (generic) classes of performances consistent with prevailing clinical facts, the component behaviors of which can be observed, classified, and counted. Then, the basic behavioral processes can be applied to discover the kinds of circumstances that can increase and decrease the frequency of particular
TL;DR: In this paper, the authors define a model for formalizing the chaining of network functions using a context-free language, and describe the mapping as a Mixed Integer Quadratically Constrained Program (MIQCP) for finding the placement of the network functions and chaining them together considering the limited network resources and requirements of the functions.
Abstract: Network appliances perform different functions on network flows and constitute an important part of an operator’s network. Normally, a set of chained network functions process network flows. Following the trend of virtualization of networks, virtualization of the network functions has also become a topic of interest. We define a model for formalizing the chaining of network functions using a context-free language. We process deployment requests and construct virtual network function graphs that can be mapped to the network. We describe the mapping as a Mixed Integer Quadratically Constrained Program (MIQCP) for finding the placement of the network functions and chaining them together considering the limited network resources and requirements of the functions. We have performed a Pareto set analysis to investigate the possible trade-offs between different optimization objectives.
TL;DR: In this paper, the Bernoulli Conjecture and families of distances have been used in the application of Gaussian Processes and Related Structures to Banach Space Theory.
Abstract: Overview and Basic Facts.- Gaussian Processes and Related Structures.- Matching Theorems.- The Bernoulli Conjecture.- Families of distances.- Applications to Banach Space Theory.