... world to support model- based reinforcement learning We address the challenges of transfer learning in heterogeneous environments with varying tasks We present an efficient, online framework that, ... practicality in both simulated and real robotics domains Transferring Expectations in Model- based Reinforcement Learning, Trung Thanh Nguyen, Tomi Silander, Tze-Yun Leong...
... statistical models into database systems by providing a new abstraction called model-based views Model-based views further the classic notion of “data independence” by insulating the users from the ... regression-based views) We revisit the issue of extensible APIs in Section 3.2 Writing Queries Over Views From the user s perspective, model-based views are indistinguisha...
... on-demand data transfer, runtime update of near likely nodes, and adaptive adjustment through reinforcement learning 5.1 On-Demand Data Transfer In PARIS, data transfer happens on-demand, that is, ... identified as a near likely node for more than one collector nodes In PARIS, the near likely node is stateless, whereas the collector nodes keep a data track tabl...
... financial brands shows that inadequate support for the brand and, confusion and lack of understanding of branding are two important factors that constrain the success of these brands (Chernatony and ... knowledge, there is no model of brand equity that particularly focuses on banking service It might be worthwhile and necessary to build a brand equity model in...
... exploring category information for question retrieval in community question answer archives In Proceedings of WWW D Chiang 2005 A hierarchical phrase-based model for statistical machine translation ... phrase-based translation model for the question part and answer part (in Section 3.2) • we propose a linear ranking model framework for question retrieva...
... promising initial policy for C OMMUNICATOR dialogues, but the issue arises of how we could transfer this policy to new domains – for example the in- car domain In the in- car scenarios the genre of “information ... (ISU) -based dialogue system in the in- car domain, with the ability to use dialogue policies derived from machine learning and also to perform onlin...
... improvements through better selection of forms that already exist in the translation model A Class-based Model of Agreement 2.1 Morpho-syntactic Agreement Morpho-syntactic agreement refers to a relationship ... affect the agreement model: 149 We assume familiarity with these operations, which are described in detail in (Och and Ney, 2004) 3.2 Agreement Model Inference The c...
... Laxman, P Naldurg, R Sripada, and R Venkatesan Connections between mining frequent itemsets and learning generative models In Proceedings of the Seventh International Conference on Data Mining (ICDM ... engine could offer users a new interface a ordance (e.g., sort search results based on different meta-data), or search paradigm (e.g., engage in an instant messaging conversati...
... 22(3):351–376 E S Ristad and P N Yianilos 1998 Learning string edit distance Trans on Pattern Recognition and Machine Intelligence, 20(5):522–532 D Shapira and J A Storer 2003 Large edit distance with multiple ... Wison, and E.R Hancock 2000 Bayesian graph edit distance IEEE Trans on Pattern Analysis and Machine Intelligence, 22:628–635 M Neuhaus and H Bunke 2004 A p...
... and A Ward 2005 Dialogue -learning correlations in spoken dialogue tutoring In AIED M Frampton and O Lemon 2005 Reinforcement learning of dialogue strategies using the user’s last dialogue act ... user’s last dialogue act, which was found to produce a 52% increase in average reward Williams et al (2003) used Supervised Learning to select good state and action featur...
... beyond health behaviour and administration into all public health disciplines and to establish undergraduate and doctoral programmes in public health that would serve the needs of state and local agencies ... in the strategic assessment As summarized in Figure 5, the Department has had a string of rapid successes and ambitious plans for attaining status a...
... associated with existing methods for measuring PF joint motion, our laboratory has developed a new model-based tracking technique for measuring in-vivo 3D joint motion The purpose of the study ... their techniques for measuring in-vivo PF joint motion For example, Sheehan and colleagues used a geardriven phantom object to assess the 3D accuracy of cine Tabl...