The Satisfaction With Life Scale (SWLS) was developed to assess satis-faction with the respondent’s life as a whole. The scale does not assess satisfaction with life domains such as health or finances but allows subjects to integrate and weight these domains in whatever way they choose. Normative

This paper examines whether temporal difference methods for training connectionist networks, such as Suttons's TD(lambda) algorithm can be successfully applied to complex real-world problems. A number of important practical issues are identified and discussed from a general theoretical

Abstract. Time dependent partial di erential equations are often solved using algorithms which parallelize the solution process in the spatial domain. However, as the number of processors increases, the parallel e ciency is limited bythe increasing communication/computationratio. Recently

Model checking has been widely successful in validating and debugging designs in the hardware and protocol domains. However, state-space explosion limits the applicability of model checking tools, so model checkers typically operate on abstractions of systems. Recently, there has been significant

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, it is unclear how information can be integrated and how coherent representational states can be established in such distributed systems. We suggest that this so-called ‘binding problem ’ may be solved in the temporal domain. The hypothesis is that synchronization of neuronal discharges can serve

of elements. We hypothesize that FLN only includes recursion and is the only uniquely human component of the faculty of language. We further argue that FLN may have evolved for reasons other than language, hence comparative studies might look for evidence of such computations outside of the domain

Abstract. Much of the existing work on plan recognition assumes that actions of other agents can be observed directly. In continuous temporal domains such as traffic scenarios this assumption is typically not war-ranted. Instead, one is only able to observe facts about the world such as vehicle

The paper reviews several techniques which are used in conjunction with the short-term analysis and which are reported to be more robust in presence of noise or other non-linguistic factors. We show that one property common to all such techniques is that they are effectively extracting speech features from segments of speech longer than 10-20 ms. II. Introduction to the Problem The communication channel and its noise level remains most often fixed or varies only rather slowly during the conversation. On the other hand, steady configurations of vocal tract are rare and carry only a little of linguistic information. The description of speech signal as a succession of equally spaced short-term samples originated in speech coding. It assumes that short-term (about 10 - 20 ms) segments of speech are independent samples from different and unrelated stationary processes. Fundamental linguistic unit is likely to be longer than 10 ms and one frame of short-term analysis result provides descri...

structures. However, a color digital video camera captures a sequence of mosaic images and the temporal dimension of the color signals provides a rich source of information about the scene via camera and object motions. This paper proposes an inter-frame demosaicking approach to take advantage of all three