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    NIPS
    2003
    91views Information Technology» more  NIPS 2003»
    Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
    14 years 28 days ago
    Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
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    We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
    Marc Toussaint
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    NIPS
    2003
    221views Information Technology» more  NIPS 2003»
    Learning Non-Rigid 3D Shape from 2D Motion
    14 years 28 days ago
    Learning Non-Rigid 3D Shape from 2D Motion
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    This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
    Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
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    NIPS
    2003
    120views Information Technology» more  NIPS 2003»
    The Diffusion-Limited Biochemical Signal-Relay Channel
    14 years 28 days ago
    The Diffusion-Limited Biochemical Signal-Relay Channel
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    Biochemical signal-transduction networks are the biological information-processing systems by which individual cells, from neurons to amoebae, perceive and respond to their chemic...
    Peter J. Thomas, Donald J. Spencer, Sierra K. Hamp...
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    NIPS
    2003
    148views Information Technology» more  NIPS 2003»
    Approximate Planning in POMDPs with Macro-Actions
    14 years 28 days ago
    Approximate Planning in POMDPs with Macro-Actions
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    Recent research has demonstrated that useful POMDP solutions do not require consideration of the entire belief space. We extend this idea with the notion of temporal abstraction. ...
    Georgios Theocharous, Leslie Pack Kaelbling
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    NIPS
    2003
    207views Information Technology» more  NIPS 2003»
    Extending Q-Learning to General Adaptive Multi-Agent Systems
    14 years 28 days ago
    Extending Q-Learning to General Adaptive Multi-Agent Systems
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    Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...
    Gerald Tesauro
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    NIPS
    2003
    134views Information Technology» more  NIPS 2003»
    Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control
    14 years 28 days ago
    Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control
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    We have constructed a second generation CPG chip capable of generating the necessary timing to control the leg of a walking machine. We demonstrate improvements over a previous ch...
    Francesco Tenore, Ralph Etienne-Cummings, M. Antho...
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    NIPS
    2003
    184views Information Technology» more  NIPS 2003»
    Link Prediction in Relational Data
    14 years 28 days ago
    Link Prediction in Relational Data
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    Many real-world domains are relational in nature, consisting of a set of objects related to each other in complex ways. This paper focuses on predicting the existence and the type...
    Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Dap...
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    NIPS
    2003
    202views Information Technology» more  NIPS 2003»
    Max-Margin Markov Networks
    14 years 28 days ago
    Max-Margin Markov Networks
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    In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
    Benjamin Taskar, Carlos Guestrin, Daphne Koller
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    NIPS
    2003
    157views Information Technology» more  NIPS 2003»
    Kernels for Structured Natural Language Data
    14 years 28 days ago
    Kernels for Structured Natural Language Data
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    This paper devises a novel kernel function for structured natural language data. In the field of Natural Language Processing, feature extraction consists of the following two ste...
    Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
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    NIPS
    2003
    142views Information Technology» more  NIPS 2003»
    A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments
    14 years 28 days ago
    A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments
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    We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” ...
    Yuuya Sugita, Jun Tani
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