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    EMNLP
    2007
    133views Natural Language Processing» more  EMNLP 2007»
    Finding Good Sequential Model Structures using Output Transformations
    13 years 9 months ago
    Finding Good Sequential Model Structures using Output Transformations
    Download  acl.ldc.upenn.edu
    In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
    Edward Loper
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    FAST
    2007
    148views Operating System» more  FAST 2007»
    AMP: Adaptive Multi-stream Prefetching in a Shared Cache
    13 years 9 months ago
    AMP: Adaptive Multi-stream Prefetching in a Shared Cache
    Download  www.usenix.org
    Abstract— Prefetching is a widely used technique in modern data storage systems. We study the most widely used class of prefetching algorithms known as sequential prefetching. Th...
    Binny S. Gill, Luis Angel D. Bathen
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    IMECS
    2007
    116views Theoretical Computer Science» more  IMECS 2007»
    Web Service Integration Based on Abstract Forms in XML for End-user Initiative Development
    13 years 9 months ago
    Web Service Integration Based on Abstract Forms in XML for End-user Initiative Development
    Download  www.se.cs.meiji.ac.jp
    ice Integration Based on Abstract Forms in XML for End-user Initiative Development Takeshi Chusho, Ryousuke Yuasa, Shinpei Nishida and Katsuya Fujiwara ∗ Abstract— The number o...
    Takeshi Chusho, Ryousuke Yuasa, Shinpei Nishida, K...
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    NIPS
    2008
    285views Information Technology» more  NIPS 2008»
    Natural Image Denoising with Convolutional Networks
    13 years 9 months ago
    Natural Image Denoising with Convolutional Networks
    Download  hebb.mit.edu
    We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
    Viren Jain, H. Sebastian Seung
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    LWA
    2007
    160views Software Engineering» more  LWA 2007»
    Towards Learning User-Adaptive State Models in a Conversational Recommender System
    13 years 9 months ago
    Towards Learning User-Adaptive State Models in a Conversational Recommender System
    Download  users.informatik.uni-halle.de
    Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
    Tariq Mahmood, Francesco Ricci
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