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A review of unsupervised feature learning and deep learning for time-series modeling
TLDR
This paper overviews the particular challenges present in time-series data and provides a review of the works that have either applied time- series data to unsupervised feature learning algorithms or alternatively have contributed to modifications of featurelearning algorithms to take into account the challenges present. Expand
Sleep Stage Classification Using Unsupervised Feature Learning
TLDR
The use of an unsupervised feature learning architecture called deep belief nets (DBNs) is proposed and how to apply it to sleep data in order to eliminate the use of handmade features is shown. Expand
GiraffPlus: Combining social interaction and long term monitoring for promoting independent living
TLDR
A general overview of the GiraffPlus system is provided, which consists of a network of home sensors that can be automatically configured to collect data for a range of monitoring services; a semi-autonomous telepresence robot; a sophisticated context recognition system that can give high-level and long term interpretations of the collected data and respond to certain events. Expand
Reasoning about Concurrent Interaction
TLDR
It is demonstrated how TAL-C can represent a number of phenomena related to action concurrency: action duration, how the effects of one action interferes with or enables another action, synergistic effects of concurrent actions, conflicting and cumulative effect interactions, and resource conflicts. Expand
Efficiently combining task and motion planning using geometric constraints
TLDR
A constraint-based approach is proposed to address a class of problems encountered in combined task and motion planning, which is called kinematically constrained problems, where a significant computational effort is spent on geometric backtrack search, which impairs search at the task level. Expand
TAL: Temporal Action Logics Language Specification and Tutorial
TLDR
This article discusses distinctions and compatibility with FF, moves on to the lightweight language specication, and presents a tutorial in terms of an excursion through the different parts of a relatively complex narrative defined using TAL, an acronym for Temporal Action Logics. Expand
An Ontology-based Context-aware System for Smart Homes: E-care@home
TLDR
This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. Expand
Constraint propagation on interval bounds for dealing with geometric backtracking
TLDR
This paper uses intervals to represent geometric configurations, and constraint propagation techniques to shrink these intervals according to the geometric constraints of the problem, and reports experiments that show how the search space is reduced. Expand
Conditional progressive planning under uncertainty
TLDR
PTLplan is a progressive planner that uses strategic knowledge encoded in a temporal logic to reduce its search space and provide some promising data from performance tests. Expand
Fuzzy anchoring
TLDR
This work proposes a fuzzy computational theory of anchoring, which modeling this process using fuzzy set-theoretic notions enables dealing with perceptual data that can be affected by uncertainty/imprecision and imprecise/vague linguistic descriptions of objects. Expand
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