ppxscal/embedding_network huggingface dataset:
Intelligent email: aiding users with AI
Authors: Mark Dredze, Hanna M. Wallach, Danny Puller, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

Email occupies a central role in the modern workplace. This has led to a vast increase in the number of email messages that users are expected to handle daily. Furthermore, email is no longer simply a tool for asynchronous online communication-email is now used for task management, personal archiving, as well both synchronous and asynchronous online communication (Whittaker and Sidner 1996). This explosion can lead to .. email overload"-many users are overwhelmed by the large quantity of information in their mailboxes. In the human--computer interaction community, there has been much research on tackling email overload. Recently, similar efforts have emerged in the artificial intelligence (AI) and machine learning communities to form an area of research known as intelligent email. In this paper, we take a user-oriented approach to applying AI to email. We identify enhancements to email user interfaces and employ machine learning techniques to support these changes. We focus on three tasks-summary keyword generation, reply prediction and attachment prediction-and summarize recent work in these areas.
Blind Source Separation System Using Stochastic Arithmetic on FPGA
Authors: Michihiro Hori, Michihito Ueda
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

We investigated the performance of a blind source separation (BSS) system based on stochastic computing in the case of an aperiodic source signal by both simulation and a field programmable gate array (FPGA) experiment. We confirmed that our BSS system can successfully infer source signals from mixed signals. We show that the system succeeds in separating source signals from mixed signals after about 3.7 seconds at a clock frequency of 32 MHz on an FPGA.
Numerical Simulation of Temperature on Copper Mould of Thin Slab Continuous Casting
Authors: Youyin Sun, Ge Wang, Jingna Gao, Ying Gao, Lingjun An, Qiang Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

A three-dimensional heat transfer model was developed to simulate the temperature distribution of the cooling copper mould used in the thin slab continuous casting process. Temperature field of the copper plate of the funneled mould was calculated by finite element method (FEM). It was confirmed that the simulation results are in agree with the experiments and actual online production. Influences of running parameters, such as pulling speed, thickness of copper plate and velocity of cooling water, on temperature filed of the copper mould are investigated respectively. Pulling speed and velocity of cooling water have only a small effect on temperature of the copper mould, but thickness of copper plate influences the temperature field of the copper plate largely.
Language ID in the context of harvesting language data off the web
Authors: Fei Xia, William D. Lewis, Hoifung Poon
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

As the arm of NLP technologies extends beyond a small core of languages, techniques for working with instances of language data across hundreds to thousands of languages may require revisiting and recalibrating the tried and true methods that are used. Of the NLP techniques that has been treated as "solved" is language identification (language ID) of written text. However, we argue that language ID is far from solved when one considers input spanning not dozens of languages, but rather hundreds to thousands, a number that one approaches when harvesting language data found on the Web. We formulate language ID as a coreference resolution problem and apply it to a Web harvesting task for a specific linguistic data type and achieve a much higher accuracy than long accepted language ID approaches.
On transforming Java-like programs into memory-predictable code
Authors: Diego Garbervetsky, Sergio Yovine, Víctor Braberman, Martín Rouaux, Alejandro Taboada
Venue: Proceedings of the 7th International Workshop on Java Technologies for Real-Time and Embedded Systems (2009)

The ScopedMemory class of the RTSJ enables the organization of objects into regions. This ensures time-predictable management of dynamic memory. Using scopes forces the programmer to reason in terms of locality, to comply with RTSJ restrictions. The programmer is also faced with the problem of providing upper-bounds for regions. Without appropriate compile-time support, scoped-memory management may lead to unexpected runtime errors. This work presents the integration of a series of compile-time analysis techniques to help identifying memory regions, their sizes, and overall memory usage. First, the tool synthesizes a scoped-based memory organization where regions are associated with methods. Second, it infers their sizes in parametric forms in terms of relevant program variables. Third, it exhibits a parametric upper-bound on the total amount of memory required to run a method. We present some preliminary results showing that semi-automatic, tool-assisted generation of scoped-based code is both helpful and doable.
Distributional Equivalence and Subcompositional Coherence in the Analysis of Compositional Data, Contingency Tables and Ratio-Scale Measurements
Authors: Michael Greenacre, Paul Lewi
Venue: Journal of Classification (2009)

We consider two fundamental properties in the analysis of two-way tables of positive data: the principle of distributional equivalence, one of the cornerstones of correspondence analysis of contingency tables, and the principle of subcompositional coherence, which forms the basis of compositional data analysis. For an analysis to be subcompositionally coherent, it suffices to analyze the ratios of the data values. A common approach to dimension reduction in compositional data analysis is to perform principal component analysis on the logarithms of ratios, but this method does not obey the principle of distributional equivalence. We show that by introducing weights for the rows and columns, the method achieves this desirable property and can be applied to a wider class of methods. This weighted log-ratio analysis is theoretically equivalent to "spectral mapping", a multivariate method developed almost 30 years ago for displaying ratio-scale data from biological activity spectra. The close relationship between spectral mapping and correspondence analysis is also explained, as well as their connection with association modeling. The weighted log-ratio methodology is used here to visualize frequency data in linguistics and chemical compositional data in archeology.
Mathematical Simulation of Calculation Chart for Oil Pumping Rod Load
Authors: Wu Xiaomeng, Wang Xiaorong
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

API RP 11L is one of usual formulas to calculate the polished rod load. There are two non-dimensional parameters to be determined by chart in the formula. This paper acquired some numbers in chart curve by image recognition techniques to simulate so that it can be used in engineering calculation.
A Comparison of Bayesian Filter Based Approaches for Patient Localization during Emergency Response to Crisis
Authors: Ashok-Kumar Chandra-Sekaran, Pascal Weisser, Klaus D. Muller-Glaser, Christophe Kunze
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

In order to overcome the logistical impediments caused during mass casualty disasters, we had proposed a new emergency response system based on a location aware wireless sensor network in our previous work. In this paper, we have implemented two new Bayesian filter based algorithms called Improved Range-Based Monte Carlo Patient Localization and Range-Based Unscented Kalman Filter Patient Localization for real time localization of large number of patients at the disaster site. The simulation in realistic conditions of both the algorithms is done using a random waypoint and a disaster management mobility model to identify their suitability for patient tracking. The new localization solution in tandem with the emergency response system shall facilitate efficient logistic support at the disaster site.
Optically sensing tongue gestures for computer input
Authors: T. Scott Saponas, Daniel Kelly, Babak A. Parviz, Desney S. Tan
Venue: Proceedings of the 22nd annual ACM symposium on User interface software and technology (2009)

Many patients with paralyzing injuries or medical conditions retain the use of their cranial nerves, which control the eyes, jaw, and tongue. While researchers have explored eye-tracking and speech technologies for these patients, we believe there is potential for directly sensing explicit tongue movement for controlling computers. In this paper, we describe a novel approach of using infrared optical sensors embedded within a dental retainer to sense tongue gestures. We describe an experiment showing our system effectively discriminating between four simple gestures with over 90% accuracy. In this experiment, users were also able to play the popular game Tetris with their tongues. Finally, we present lessons learned and opportunities for future work.
Bayes-relational learning of opponent models from incomplete information in no-limit poker
Authors: Marc Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

We propose an opponent modeling approach for No-Limit Texas Hold'em poker that starts from a (learned) prior, i.e., general expectations about opponent behavior and learns a relational regression tree-function that adapts these priors to specific opponents. An important asset is that this approach can learn from incomplete information (i.e. without knowing all players' hands in training games).
Towards a Visual Representation of the Effects of Reduced Muscle Strength in Older Adults: New Insights and Applications for Design and Healthcare
Authors: David Loudon, Alastair S. Macdonald
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

This paper details the evaluation of human modelling software, which provides visual access to dynamic biomechanical data on older adult mobility to a new audience of professionals and lay people without training in biomechanics. An overview of the process of creating the visualisation software is provided, including a discussion of the benefits over existing approaches. The qualitative evaluation method, which included a series of interviews and focus groups held with older adults, and healthcare and design professionals, is discussed together with key findings. The findings are illustrated with examples of new dialogues about specific mobility issues impacting on healthcare and design planning which were facilitated by the data visualisations.
An Improved Particle Swarm Optimization Algorithm for MINLP Problems
Authors: Xu Jian, Liu Zhao
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

This paper, to solve the MINLP (Mixed Integer Nonlinear Programming) problems, presents an improved algorithm of PSO (Particle Swarm Optimization). The main contribution of the improved algorithm includes: new migration strategy was proposed and the velocity update strategy was replaced by a new one. Experiments show that the new algorithm has better results and more effective than others.
Loops prevention in multi-nested mobile networks NEMO
Authors: Christian Lazo Ramírez, Manuel Fernández Veiga
Venue: Proceedings of the 2008 Euro American Conference on Telematics and Information Systems (2008)

The election of the best point of connection toward the network of infrastructure plays a fundamental role during the process of configuration of a nested mobile network. Thus, in this work the associated problems to the loops generation are revised during the process of connection, and a mechanism is described that permits to solve them for arrogance of routers with multiple egress interfaces, by means of a novel algorithm of loops control and the analysis of the messages of the protocol.
Inclusive Design for Ordinary Users in Extraordinary Circumstances
Authors: Simeon Keates
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

Universal access is commonly interpreted as focusing on designing for users with atypical requirements --- specifically users with disabilities or older adults. However, universal access is also about providing access to users in all situations and circumstances, including those that place extraordinary burdens on the users. This paper examines the design of a user interface (UI) for use in an airport environment and explains how the lessons learned from designing for users with disabilities in particular have been applied in this new context. The paper further describes a series of experiments that were performed to demonstrate the usability of the new interface and also compare the efficacy of three different input strategies developed for the new UI. The most efficient method of input was a strategy of combined keyboard shortcuts offering access to the full functionality of the UI. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Bridging the Gap between HCI and DHM: The Modeling of Spatial Awareness within a Cognitive Architecture
Authors: Bryan Robbins, Daniel Carruth, Alexander Morais
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

In multiple investigations of human performance on natural tasks in three-dimensional (3D) environments, we have found that a sense of space is necessary for accurate modeling of human perception and motor planning. In previous work, we developed ACT-R/DHM, a modification of the ACT-R cognitive architecture with specific extensions for integration with 3D environments. ACT-R/DHM could leverage existing extensions from the ACT-R community that implement the spatial sense, but current research seems to indicate that an "egocentric-first" approach is most appropriate. We describe the implementation of a custom spatial module in ACT-R/DHM, which allows for the consideration of spatial locations by adding a single ACT-R module that performs a very small set of operations on existing location information. We demonstrate the use of the 3D, egocentric-first spatial module to simulate a machine interaction task.
Empathy between Human and Home Service Robots
Authors: Qinggang Meng, Mark Lee
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

The rapid growth of elderly population has created a huge increase in demand for home health-care services. Home service robots are expected to play an important role to support elderly people at home to improve their life quality. Unlike industrial robots, home service robots face many challenges in terms of safety, autonomy, flexibility and usability, etc. How to efficiently realize human-robot interaction is one of the main areas to achieve home service tasks. Understanding the mechanisms of empathy in human beings and applying such mechanisms to home service robots is crucial to make human-robot interaction natural and friendly. Recent studies shows the links in the functional, and neural mechanisms between imitation and empathy in human beings. In this paper, algorithms are developed to allow robots to understand natural color names given by the user to help locate target objects, and showing by examples is applied to express human's intentions to robots in imitation. Case studies are conducted to demonstrate the proposed approaches.
Cluster Analysis Based on the Central Tendency Deviation Principle
Authors: Julien Ah-Pine
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Our main goal is to introduce three clustering functions based on the central tendency deviation principle. According to this approach, we consider to cluster two objects together providing that their similarity is above a threshold. However, how to set this threshold ? This paper gives some insights regarding this issue by extending some clustering functions designed for categorical data to the more general case of real continuous data. In order to approximately solve the corresponding clustering problems, we also propose a clustering algorithm. The latter has a linear complexity in the number of objects and doesn't require a pre-defined number of clusters. Then, our secondary purpose is to introduce a new experimental protocol for comparing different clustering techniques. Our approach uses four evaluation criteria and an aggregation rule for combining the latter. Finally, using fifteen data-sets and this experimental protocol, we show the benefits of the introduced cluster analysis methods.
Zero-data learning of new tasks
Authors: Hugo Larochelle, Dumitru Erhan, Yoshua Bengio
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or tasks are provided. Zero-data learning is useful for problems where the set of classes to distinguish or tasks to solve is very large and is not entirely covered by the training data. The main contributions of this work lie in the presentation of a general formalization of zero-data learning, in an experimental analysis of its properties and in empirical evidence showing that generalization is possible and significant in this context. The experimental work of this paper addresses two classification problems of character recognition and a multitask ranking problem in the context of drug discovery. Finally, we conclude by discussing how this new framework could lead to a novel perspective on how to extend machine learning towards AI, where an agent can be given a specification for a learning problem before attempting to solve it (with very few or even zero examples).
An agreement measure for determining inter-annotator reliability of human judgements on affective text
Authors: Plaban Kr. Bhowmick, Pabitra Mitra, Anupam Basu
Venue: Proceedings of the Workshop on Human Judgements in Computational Linguistics (2008)

An affective text may be judged to belong to multiple affect categories as it may evoke different affects with varying degree of intensity. For affect classification of text, it is often required to annotate text corpus with affect categories. This task is often performed by a number of human judges. This paper presents a new agreement measure inspired by Kappa coefficient to compute inter-annotator reliability when the annotators have freedom to categorize a text into more than one class. The extended reliability coefficient has been applied to measure the quality of an affective text corpus. An analysis of the factors that influence corpus quality has been provided.
Translation and extension of concepts across languages
Authors: Dmitry Davidov, Ari Rappoport
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

We present a method which, given a few words defining a concept in some language, retrieves, disambiguates and extends corresponding terms that define a similar concept in another specified language. This can be very useful for cross-lingual information retrieval and the preparation of multi-lingual lexical resources. We automatically obtain term translations from multilingual dictionaries and disambiguate them using web counts. We then retrieve web snippets with co-occurring translations, and discover additional concept terms from these snippets. Our term discovery is based on co-appearance of similar words in symmetric patterns. We evaluate our method on a set of language pairs involving 45 languages, including combinations of very dissimilar ones such as Russian, Chinese, and Hebrew for various concepts. We assess the quality of the retrieved sets using both human judgments and automatically comparing the obtained categories to corresponding English WordNet synsets.
An Analysis of China's Nuclear Power Plant Programme Supply Chain from the Perspective of Life Cycle
Authors: Yang Guang, Huang Wenjie
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Nuclear power development requires completing and vast supply chain as a support. From the perspective of life cycle, the paper analyzes and identifies the scope of NPP supply chain, develops nuclear power plant programme supply chain model that is of vital importance to ensure the scheduled construction and sound operation of new nuclear programme. In line with the elements of supply chain, the paper analyzes China’s nuclear power industry and gives some useful proposals.
Utilizing XML Clustering for Efficient XML Data Management on P2P Networks
Authors: Panagiotis Antonellis, Christos Makris, Nikos Tsirakis
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

Peer-to-Peer (P2P) data integration combines the P2P infrastructure with traditional scheme-based data integration techniques. Some of the primary problems in this research area are the techniques to be used for querying, indexing and distributing documents among peers in a network especially when document files are in XML format. In order to handle this problem we describe an XML P2P system that efficiently distributes a set of clustered XML documents in a P2P network in order to speed-up user queries. The novelty of the proposed system lies in the efficient distribution of the XML documents and the construction of an appropriate virtual index on top of the network peers.