This paper studies the effects of the integration of two learning algorithms, Case-Based Reasoning (CBR) and Learning Momentum (LM), for the selection of behavioral parameters in real-time for robotic navigational tasks. Use of CBR methodology in the selection of behavioral parameters has already shown significant improvement in robot performance [3, 6, 7, 14] as measured by mission completion ...

Smith, Wiehagen and Zeugmann (1997) showed an interesting connection between learning with bounded number of mind changes from informants and classification from informant. They showed that if an indexed family of languages L is learnable via informants, using at most m mind changes, then one can partition 2 , the class of all languages, into m+2 subclasses L1, . . . ,Lm+2 such that (1) ⋃ i∈{1,...

This paper presents a novel application of answer set programming to concept learning in nonmonotonic logic programs. Given an extended logic program as a background theory, we introduce techniques for inducing new rules using answer sets of the program. The produced new rules explain positive/negative examples in the context of inductive logic programming. The result of this paper combines tec...

Coreference resolution is a well known clustering task in Natural Language Processing. In this paper, we describe the Latent Left Linking model (LM), a novel, principled, and linguistically motivated latent structured prediction approach to coreference resolution. We show that LM admits efficient inference and can be augmented with knowledge-based constraints; we also present a fast stochastic ...

The success of an Artificial Neural Network (ANN) strongly depends on its training process. Gradient-based techniques have been satisfactorily used in the ANN training. However, in many cases, these algorithms are very slow and susceptible to the local minimum problem. In our work, we implemented a hybrid learning algorithm that integrates Genetic Algorithms(GAs) and the LevenbergMarquardt(LM) ...

This paper presents speech-driven Web retrieval models which accepts spoken search topics (queries) in the NTCIR-3 Web retrieval task. We experimentally evaluate the techniques of combining outputs of multiple LVCSR models with a language model(LM) with a 60,000 vocabulary size in recognition of spoken queries. As model combination techniques, we use the SVM learning. We show that the technique...

We propose a novel scheme to learn a language model (LM) for automatic speech recognition (ASR) directly from continuous speech. In the proposed method, we first generate phoneme lattices using an acoustic model with no linguistic constraints, then perform training over these phoneme lattices, simultaneously learning both lexical units and an LM. As a statistical framework for this learning pro...

Laryngeal masks are invasive devices for airway management placed in the supraglottic position. The Shiley™ laryngeal mask (Shiley™ LM) features an integrated inflation tube and airway shaft to facilitate product insertion and reduce the chance of tube occlusion when patients bite down. This study compared the Shiley LM to two other disposable laryngeal mask devices, the Ambu® AuraStraight™ and...

present research is primarily concerned with study of the relationships between the variables knowledge management, organizational learning, and organizational performance in the shabestar branch of islamic azad university. the required data, based on the research model, was gathered through distribution of a questionnaire among the employees of this university. to examine the relationships bet...

nearly two decades, organizational failures are considered as an effective source of promoting organizational learning. error management culture in the organization is established as a mechanism to facilitate organizational learning from errors that improves long-term and sustainable innovation and organizational performance. the main objective of this study is to investigate the relation betwe...