Searching for authors named "Raul Trejo" – sorted by Relevance.
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Complexity of Collective Decision Making Explained by Neural Network Universal Approximation Theorem
- THEOREM Raul Trejo Vladik Kreinovich Sistemas de Informacion Department of Computer Science Division de
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Computing the Shape of the Image of a Multi-Linear Mapping Is Possible But Computationally Intractable: Theorems
- Intractable: Theorems Ra'ul Trejo and Vladik Kreinovich Department of Computer Science University of Texas
- Cited by 1 (1 self) – Add To MetaCart
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Can Computers Do the Job of Nobelist Physicists? Planck Formula Revisited
- Can Computers Do the Job of Nobelist Physicists? Planck Formula Revisited Richard Al'o 1 , Ra'ul
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Towards Feasible Approach to Plan Checking Under Probabilistic Uncertainty: Interval Methods
- Towards Feasible Approach to Plan Checking Under Probabilistic Uncertainty: Interval Methods Ra'ul
- Cited by 6 (5 self) – Add To MetaCart
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Computational Complexity of Planning and Approximate Planning in the Presence of Incompleteness
- Chitta Baral 1 , Vladik Kreinovich 2 , and Ra'ul Trejo 2 1 Department of Computer Science, Arizona
- Cited by 39 (7 self) – Add To MetaCart
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Optimal Interval Enclosures For Fractionally-Linear Functions, And Their Aplication To Intelligent Control
- CONTROL Robert N. Lea 1 , Vladik Kreinovich 2 , Raul Trejo 3 1 NASA Johnson Space Center, Houston
- Cited by 11 (4 self) – Add To MetaCart
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Computational Complexity of Planning with Temporal Goals
- @(email omitted); Raúl A. Trejo ITESM Campus Edo. México Atizapan, México 52926 rtrejo@(email omitted); planning
- Cited by 10 (4 self) – Add To MetaCart
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Error Estimations For Indirect Measurements: Randomized Vs. Deterministic Algorithms For "Black-Box" Programs
- FOR "BLACK-BOX" PROGRAMS Vladik Kreinovich and Ra ul Trejo Abstract In many real-life situations, it is very
- Cited by 18 (11 self) – Add To MetaCart
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Choosing a Physical Model: Why Symmetries?
- Choosing a Physical Model: Why Symmetries? Ra'ul A. Trejo, Vladik Kreinovich, and Luc Longpr
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Complexity and Approximation Studies of Finding Polynomially Bounded Length Plans for Temporal Goals
- goals Chitta Baral †, Vladik Kreinovich ‡, Sudeshna Sarkar ♯, Nam Tran †, Raul Trejo ♮ and Xin Zhang
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