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    AAAI
    2015
    18views Intelligent Agents» more  AAAI 2015»
    Tighter Value Function Bounds for Bayesian Reinforcement Learning
    8 years 8 months ago
    Tighter Value Function Bounds for Bayesian Reinforcement Learning
    Download  ailab.kaist.ac.kr
    Kanghoon Lee, Kee-Eung Kim
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    AAAI
    2015
    35views Intelligent Agents» more  AAAI 2015»
    Perceiving Group Themes from Collective Social and Behavioral Information
    8 years 8 months ago
    Perceiving Group Themes from Collective Social and Behavioral Information
    Download  www.engr.uconn.edu
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    AAAI
    2015
    11views Intelligent Agents» more  AAAI 2015»
    SMT-Based Validation of Timed Failure Propagation Graphs
    8 years 8 months ago
    SMT-Based Validation of Timed Failure Propagation Graphs
    Download  www.mikand.net
    Timed Failure Propagation Graphs (TFPGs) are a formalism used in industry to describe failure propagation in a dynamic partially observable system. TFPGs are commonly used to perf...
    Marco Bozzano, Alessandro Cimatti, Marco Gario, An...
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    AAAI
    2015
    30views Intelligent Agents» more  AAAI 2015»
    Splitting a Logic Program Revisited
    8 years 8 months ago
    Splitting a Logic Program Revisited
    Download  staff.ustc.edu.cn
    Lifschitz and Turner introduced the notion of the splitting set and provided a method to divide a logic program into two parts. They showed that the task of computing the answer s...
    Jianmin Ji, Hai Wan, Ziwei Huo, Zhenfeng Yuan
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    AAAI
    2015
    17views Intelligent Agents» more  AAAI 2015»
    Learning Greedy Policies for the Easy-First Framework
    8 years 8 months ago
    Learning Greedy Policies for the Easy-First Framework
    Download  eecs.wsu.edu
    Easy-first, a search-based structured prediction approach, has been applied to many NLP tasks including dependency parsing and coreference resolution. This approach employs a lea...
    Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth M...
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    AAAI
    2015
    17views Intelligent Agents» more  AAAI 2015»
    Balanced Trade Reduction for Dual-Role Exchange Markets
    8 years 8 months ago
    Balanced Trade Reduction for Dual-Role Exchange Markets
    Download  eprints.soton.ac.uk
    We consider dual-role exchange markets, where traders can offer to both buy and sell the same commodity in the exchange but, if they transact, they can only be either a buyer or a...
    Dengji Zhao, Sarvapali D. Ramchurn, Enrico H. Gerd...
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    AAAI
    2015
    21views Intelligent Agents» more  AAAI 2015»
    Towards Cognitive Automation of Data Science
    8 years 8 months ago
    Towards Cognitive Automation of Data Science
    Download  www.cs.toronto.edu
    A Data Scientist typically performs a number of tedious and time-consuming steps to derive insight from a raw data set. The process usually starts with data ingestion, cleaning, a...
    Alain Biem, Maria Butrico, Mark Feblowitz, Tim Kli...
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    AAAI
    2015
    21views Intelligent Agents» more  AAAI 2015»
    Self-Paced Curriculum Learning
    8 years 8 months ago
    Self-Paced Curriculum Learning
    Download  www.cs.cmu.edu
    Curriculum learning (CL) or self-paced learning (SPL) represents a recently proposed learning regime inspired by the learning process of humans and animals that gradually proceeds...
    Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Ale...
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    AAAI
    2015
    26views Intelligent Agents» more  AAAI 2015»
    Unsupervised Word Sense Disambiguation Using Markov Random Field and Dependency Parser
    8 years 8 months ago
    Unsupervised Word Sense Disambiguation Using Markov Random Field and Dependency Parser
    Download  www.cse.iitb.ac.in
    Word Sense Disambiguation is a difficult problem to solve in the unsupervised setting. This is because in this setting inference becomes more dependent on the interplay between d...
    Devendra Singh Chaplot, Pushpak Bhattacharyya, Ash...
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    AAAI
    2015
    21views Intelligent Agents» more  AAAI 2015»
    Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes
    8 years 8 months ago
    Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes
    Download  webdocs.cs.ualberta.ca
    In many situations, it is desirable to optimize a sequence of decisions by maximizing a primary objective while respecting some constraints with respect to secondary objectives. S...
    Pascal Poupart, Aarti Malhotra, Pei Pei, Kee-Eung ...
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