this parsing framework to both tracks of the CoNLL 2007 shared task, in each case taking advantage of multiple models trained with different learners. In the multilingual track, we train three LR models for each of the ten languages, and combine the analyses obtained with each individual model with a maximum

In this thesis, we introduce probabilistic models to rank the likelihood of resultant parses within the GLR parsing framework. Probabilistic models can also bring about the benefit of reduction of search space, if the models allow prefix probabilities for partial parses. In devising the models, we

This paper presents a powerful, practical, and essentially language-independent syntactic error diagnosis and recovery method that is applicable within the frameworks of LR and LL parsing. The method generally issues accurate diagnoses even where multiple errors occur within close proximity, yet

Abstract: Within the framework of the complete theory of supersymmetry without R-parity, where all possible R-parity violating terms are admitted, we perform a systematic analytical study of all sources of neutrino masses up to “direct one-loop” (defined explicitly below) level. In the passing, we

and consider the LLN relative to the associated Lr metric. This framework extends the case of uniform convergence over F, which is recovered when r goes to infinity. The main result is a Lr-LLN in terms of a suitable uniform entropy integral which generalizes the Koltchinskii-Pollard entropy integral. 1.

The paper has three aims. Its primary focus is a derivation method which is --- in contrast to many of the classical presentations in the literature --- easy to comprehend and thus easy to adapt to different needs. Secondly, it presents an improved LR parser which has the power of LR parsing

This paper describes a procedure that uses particle swarm optimization (PSO) combined with the Lagrangian Relaxation (LR) framework to solve a power-generator scheduling problem known as the unit commitment problem (UCP). The UCP consists of determining the schedule and production amount

studied by Barmpalias, Lewis, Soskova [2] and Simpson [15]. In this paper we study ≤LR and its interactions with ≤T. In Section 1 we lay out the basic framework and facts which are used throughout the rest of

and energy consumption. Our studies are based on our new implementation of IEEE 802.15.4 developed for the simulation framework OMNeT++. We performed extensive simulations that demonstrate the capabilities of this protocol in the selected scenarios but also the limitations. In particular, we investigated

LR-WPAN is Low-Rate wireless personal area network standard IEEE 802.15.4. This paper is to establish path loss models for predicting wireless data transmission performance for IEEE 802.15.4 protocol standard. We use two different path-loss models to check the performance of network. Applying