Now showing items 1-17 of 17

    • Active Learning and Submodular Functions 

      Guillory, Andrew Russell (2012-09-13)
      Active learning is a machine learning setting where the learning algorithm decides what data is labeled. Submodular functions are a class of set functions for which many optimization problems have efficient exact or ...
    • Algorithmic Approaches to Detecting Interviewer Fabrication in Surveys 

      Birnbaum, Benjamin (2013-02-25)
      Surveys are one of the principal means of gathering critical data from low-income regions. Bad data, however, may be no better--or worse--than no data at all. Interviewer data fabrication, one cause of bad data, is an ...
    • Backscatter Protocols and Energy-Efficient Computing for RF-Powered Devices 

      Buettner, Michael (2013-02-25)
      RF-powered computers operate using energy they harvest from radio frequency (RF) signals. Compared to battery powered devices, they have the advantages of being small and long-lived as they do not need to carry an onboard ...
    • Designing for Effective End-User Interaction with Machine Learning 

      Amershi, Saleema (2013-02-25)
      End-user interactive machine learning is a promising tool for enhancing human capabilities with data. Recent work has shown that we can create specific applications that employ end-user interactive machine learning. However, ...
    • Discovery and Applications of Bacterial Noncoding RNAs 

      Tseng, Huei-Hun Elizabeth (2013-02-25)
      Noncoding RNAs (ncRNAs) are functional transcripts that do not code for proteins. Many of them play indispensible roles in the cell. For example, the ribosomal RNAs make up the ribosome that is the factory for making ...
    • Feature Engineering in Fine-Grained Image Classification 

      Yang, Shulin (2013-07-25)
      In most machine learning pipelines, feature engineering is an important module. The use of features has become the bottleneck for many learning related tasks, especially fo unstructured data like images and texts. This ...
    • Improving Clinical Decision Support in Low-Income Regions 

      Anokwa, Yaw (2012-09-13)
      The combination of lightly trained doctors, under-resourced hospitals, and complex treatment protocols can sometimes result in sub-standard care for HIV patients in low-income regions. While previous work has shown that ...
    • Information Economics in the Age of e-Commerce: Models and Mechanisms for Information-Rich Markets 

      Celis, Laura Elisa (2013-02-25)
      The internet has dramatically changed the landscape of both markets and computation with the advent of electronic commerce (e-commerce). It has accelerated transactions, informed buyers, and allowed interactions to be ...
    • Interference-Free Regions and Their Application to Compiler Optimization and Data-Race Detection 

      Effinger-Dean, Laura (2013-02-25)
      Programming languages must be defined precisely so that programmers can reason carefully about the behavior of their code and language implementers can provide correct and efficient compilers and interpreters. However, ...
    • Leveraging Usage History to Enhance Database Usability 

      Khoussainova, Nodira (2013-02-25)
      More so than ever before, large datasets are being collected and analyzed throughout a variety of disciplines. Examples include social networking data, software logs, scientific data, web clickstreams, sensor network data, ...
    • Lowering the Barrier to Applying Machine Learning 

      Patel, Kayur Dushyant (2013-02-25)
      Data is driving the future of computation: analysis, visualization, and learning algorithms power systems that help us diagnose cancer, live sustainably, and understand the universe. Yet, the data explosion has outstripped ...
    • Managing Skew in the Parallel Evaluation of User-Defined Operations 

      KWON, YONGCHUL (2013-02-25)
      Science and business are generating data at an unprecedented scale and rate due to ever evolving technologies in computing and sensors. Analyzing big data has become a key skill driving business and science. The challenges ...
    • Open Data Kit: Technologies for Mobile Data Collection and Deployment Experiences in Developing Regions 

      Hartung, Carl (2012-09-13)
      Gathering information accurately and quickly is essential for enabling organizations working in low-resource settings to have timely and sustainable impact. Due to insufficient infrastructure, many organizations currently ...
    • Privacy and Performance in Social Overlay Networks 

      Isdal, Tomas (2012-09-13)
      The core Internet protocols were not designed to protect the privacy of content or the identities of communicating users, thus making censorship and surveillance easy. The same problem persists at higher level protocols, ...
    • Scalable Query Evaluation over Complex Probabilistic Databases 

      Jha, Abhay (2012-09-13)
      The age of Big Data has brought with itself datasets which are not just big, but also much more complicated. These datasets are constructed from disparate, unreliable and noisy sources, many times in an ad-hoc way because ...
    • Simplifying the Configuration of 802.11 Wireless Networks with Effective SNR 

      Halperin, Daniel Chaim (2013-02-25)
      Advances in the price, performance, and power consumption of Wi-Fi (IEEE 802.11) technology have led to the adoption of wireless functionality in diverse consumer electronics. These trends have enabled an exciting vision ...
    • Unstructured Image Mosaics 

      Garg, Rahul (2012-09-13)
      Image mosaics stitch photos into a single composite with a wide field of view. They are easy to create and can be panned by dragging the mouse, thus enabling simple and effective photorealistic visualizations. However, ...