1051 - 1075 of 1,978
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CreatorTitleDescriptionSubjectDate
1051 Henderson, Thomas C.Leadership protocol for S-NetsSmart Sensor Networks are collections of non-mobile devices (S-elements) which can compute, communicate and sense the environment; they must be able to create local groups of devices (S-cliques). We propose here a protocol to solve the leadership problems for S-Nets. We sketch the correctness of thi...Smart Sensor Networks; S-Nets2001
1052 Furse, Cynthia M.Leaky fields from damaged shieldsIn a world where wireless devices appear to dominate society, it is wires that truly rule and connect our lives. Certainly the spread of cellular phones, Bluetooth technology, wireless sensor networks, and advances of ion-lithium battery capabilities have made common daily devices more disconnecte...2011
1053 Riloff, Ellen M.Learning and evaluating the content and structure of a term taxonomyIn this paper, we describe a weakly supervised bootstrapping algorithm that reads Web texts and learns taxonomy terms. The bootstrapping algorithm starts with two seed words (a seed hypernym (Root concept) and a seed hyponym) that are inserted into a doubly anchored hyponym pattern. In alternatin...Weakly supervised; Bootstrapping algorithm; Seed hypernym; Seed hyponym; Root concept; Term taxonomy; Learning by reading systems2009
1054 Riloff, Ellen M.Learning dictionaries for information extraction by multi-level bootstrappingInformation extraction systems usually require two dictionaries: a semantic lexicon and a dictionary of extraction patterns for the domain. We present a multilevel bootstrapping algorithm that generates both the semantic lexicon and extraction patterns simultaneously. As input, our technique requir...Information extraction; Extraction patterns; Multi-level bootstrapping; Learning dictionaries1999
1055 Riloff, Ellen M.Learning domain-specific information extraction patterns from the webMany information extraction (IE) systems rely on manually annotated training data to learn patterns or rules for extracting information about events. Manually annotating data is expensive, however, and a new data set must be annotated for each domain. So most IE training sets are relatively small. C...Information extraction; Domain-specific; Annotated training sets; MUC-42006
1056 Riloff, Ellen M.Learning extraction patterns for subjective expressionsThis paper presents a bootstrapping process that learns linguistically rich extraction patterns for subjective (opinionated) expressions. High-precision classifiers label unannotated data to automatically create a large training set, which is then given to an extraction pattern learning algorithm. T...Bootstrapping process; Extraction patterns; Subjective expressions; Opinions2003
1057 Myers, Chris J.Learning genetic regulatory network connectivity from time series dataAbstract-Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This information can be used to understand the genetic regulatory network that generates the data. Typically, Bayesian analysis approaches are applied which neglect ...2011
1058 Myers, Chris J.Learning genetic regulatory network connectivity from time series dataAbstract. Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This paper proposes an efficient method to generate the genetic regulatory network inferred from time series data. Our method fi_x000C_rst encodes the data into le...2006
1059 Riloff, Ellen M.Learning subjective nouns using extraction pattern bootstrappingWe explore the idea of creating a subjectivity classifier that uses lists of subjective nouns learned by bootstrapping algorithms. The goal of our research is to develop a system that can distinguish subjective sentences from objective sentences. First, we use two bootstrapping algorithms that explo...Subjective nouns; Bootstrapping; Extraction patterns; Subjectivity classifier; Naive Bayes classifier2003
1060 Riloff, Ellen M.Learning to identify reduced passive verb phrases with a shallow parserOur research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g., "The man arrested had a long record"). These errors directly impact thematic role recognition and NLP applications that dep...Passive voice; Reduced passive verb phrases; Shallow parser; Learned classifier2008
1061 Furse, Cynthia M.Learning to teach in the flipped classroomThe flipped classroom has gained tremendous recent popularity. This paper reports on a new faculty training program for helping and mentoring faculty to learn to teach with the flipped classroom. Several modules were piloted in 2013-2014, including active teaching, how to create video lectures, cont...2014-01-01
1062 Freire, JulianaLegoDB: customizing relational storage for XML documentsXML is becoming the predominant data exchange format in a variety of application domains (supply-chain, scientific data processing, telecommunication infrastructure, etc.). Not only is an increasing amount of XML data now being processed, but XML is also increasingly being used in business-critical...LegoDB; XML Schema2002
1063 Myers, Chris J.LEMA: A tool for the formal verification of digitally-intensive analog/mixed-signal circuitsThe increasing integration of analog/mixed-signal (AMS) circuits into system designs has further complicated an already difficult verification problem. Recently, formal verification, which has been successful in the purely digital domain, has made some in-roads in the AMS domain. This paper describe...2014-01-01
1064 Myers, Chris J.Level oriented formal model for asynchronous circuit verification and its efficient analysis methodUsing a level-oriented model for verification of asynchronous circuits helps users to easily construct formal models with high readability or to naturally model datapath circuits. On the other hand, in order to use such a model on large circuits, techniques to avoid the state explosion problem must ...2002
1065 Balasubramonian, RajeevLeveraging 3D technology for improved reliabilityAggressive technology scaling over the years has helped improve processor performance but has caused a reduction in processor reliability. Shrinking transistor sizes and lower supply voltages have increased the vulnerability of computer systems towards transient faults. An increase in within-die an...Reliability; Redundant multi-threading, 3D die-stacking; Parameter variation; Soft errors; Dynamic timing errors; Power-efficient microarchitecture; On-chip temperature2007-12
1066 Balasubramonian, RajeevLeveraging bloom filters for smart search within NUCA cachesOn-chip wire delays are becoming increasingly problematic in modern microprocessors. To alleviate the negative effect of wire delays, architects have considered splitting up large L2/L3 caches into several banks, with each bank having a different access latency depending on its physical proximit...Bloom filters; Smart search; NUCA caches; Wire delays; On-chip2006
1067 Balasubramonian, RajeevLeveraging heterogeneity in DRAM main memories to accelerate critical word accessThe DRAM main memory system in modern servers is largely homogeneous. In recent years, DRAM manufacturers have produced chips with vastly differing latency and energy characteristics. This provides the opportunity to build a heterogeneous main memory system where different parts of the address space...2012-01-01
1068 Balasubramonian, RajeevLeveraging wire properties at the microarchitecture levelIn future microprocessors, communication will emerge as a major bottleneck. The authors advocate composing future interconnects of some wires that minimize latency, some that maximize bandwidth, and some that minimize power. A microarchitecture aware of these wire characteristics can steer on-chip ...Microarchitecture; Interconnects; Cache coherence2006-11
1069 Gray, Kathryn E.Linguistic support for unit testingExisting systems for writing unit tests exploit built-in language constructs, such as reflection, to simulate the addition of testing constructs. While these simulations provide the minimally necessary functionality, they fail to support testing properly in many instances. In response, we have ...Java; Testing; Unit testing2007
1070 Didier, Richard C.Linking microclimate and energy use with a low cost wall mounted measurement systemUrban microclimate plays a critical role in overall urban energy demand and efficiency. At the building scale, energy use and internal conditions are directly impacted by local microclimate. The direct link between building energy use and local microclimate is through building envelope heat fluxes. ...Microclimate; Energy; Temperature; Humidity; Arduino; EnergyPlus2016-06
1071 Liu, FengLiu et al replyIn our Letter [1], we have demonstrated the plausibility of a structure for ?-cristobalite SiC2 consisting of domains of I Aid symmetry, and provided strong evidence against other proposed models, based on first-principles total energy and lattice dynamics calculations. We are pleased that the Auth...beta-Cristobalite SiO2; Rigid unit modes; RUM; Transient domain formation1993
1072 Liu, FengLiu et al. replyIn our paper we were alluding to a structural phase transition rather than an order-disorder one. We agree with Blaschko2 that more work needs to be done regarding the statistical mechanics of the hydrogen ordering. This was already acknowledged in our paper when we stated that the model of nonint...Structural phase transition; Hydrogen ordering; Ising lattice-gas models; Proton glass1990
1073 Harrison, Reid R.Local field potential measurement with low-power analog integrated circuitLocal field potentials (LFPs) in the brain are an important source of information for basic research and clinical (i.e., neuroprosthetic) applications. The energy contained in certain bands of LFPs in the 10-100 Hz range has been shown to correlate with specific arm movement parameters in nonhuman ...Local field potentials; Neural recording; Low-power circuit design; Neural prosthesis; VLSI2004-01-01
1074 Liu, FengLocal strain-mediated chemical potential control of quantum dot self-organization in heteroepitaxyFrom observations of self-assembly of Ge quantum dots directed by substrate morphology, we propose the concept of control of ordering in heteroepitaxy by a local strain-mediated surface chemical potential. Using quite simple lithography, we demonstrate directed quantum dot ordering. The strain part ...Self-organization; Heteroepitaxy; Chemical potential control; Ge quantum dots2004-01
1075 Weinstein, DavidLocalization of multiple deep epileptic sources in a realistic head model via independent component analysisEstimating the location and distribution of current sources within the brain from electroencephalographic (EEG) recordings is an ill-posed inverse problem. The ill-posedness of the problem is due to a lack of uniqueness in the solution; that is, different configurations of sources can generate ident...EEG; Current sources; Head model2000
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