!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> Technical Reports | Computer Science | UTEP

CS Technical Reports

The file that you are reading contains the list of our 2015 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:

  • Why Min-Based Conditioning

    Salem Benferhat and Vladik Kreinovich

    link to abstract | UTEP-CS-15-99 in pdf | UTEP-CS-15-99a in pdf | UTEP-CS-15-99b in pdf
  • Toward Unification of Explicit and Implicit Invocation-Style Programming

    Yoonsik Cheon

    link to abstract | UTEP-CS-15-98 in pdf
  • Fuzzy Techniques Provide a Theoretical Explanation for the Heuristic l^p-Regularization of Signals and Images

    Fernando Cervantes, Bryan Usevitch, Leobardo Valera, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-15-97 in pdf | UTEP-CS-15-97a in pdf
  • Membership Functions Representing a Number vs. Representing a Set: Proof of Unique Reconstruction

    Hung T. Nguyen, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-15-96 in pdf | UTEP-CS-15-96a in pdf
  • From Tertullian's Credo Quia Absurdum to Bohr's Crazy Theories: A Rational Explanation of a Seemingly Irrational Idea

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-95 in pdf
  • How to Predict Nesting Sites?

    Stephen Escarzaga, Craig Tweedie, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-94 in pdf
  • Towards Selecting the Best Abstraction for a Patrolling Game

    Anjon Basak, Christopher Kiekintveld, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-93 in pdf
  • Simplest Innovations Are, Empirically, the Most Promising: An Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-92 in pdf
  • Why It Is Healthy to Regularly Challenge Authority: An Algorithmic Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-91 in pdf
  • A Systematic Derivation of Loop Specifications Using Patterns

    Aditi Barua and Yoonsik Cheon

    link to abstract | UTEP-CS-15-90 in pdf
  • Interval Methods for Data Fitting under Uncertainty: A Probabilistic Treatment

    Vladik Kreinovich and Sergey Shary

    link to abstract | UTEP-CS-15-89 in pdf | UTEP-CS-15-89a in pdf
  • Science Is Helpful for Engineering Applications: A Theoretical Explanation of an Empirical Observation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-88 in pdf
  • Why the Range of a Robust Statistic Under Interval Uncertainty Is Often Easier to Compute

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-87 in pdf
  • Waning Influence of History: Why?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-86 in pdf
  • Positive Consequences of Negative Attitude: Game-Theoretic Analysis

    Mahdokht Afravi and Vladik Kreinovich

    link to abstract | UTEP-CS-15-85 in pdf
  • Maximum Entropy Approach Is Not As Arbitrary As It May Seem at First Glance

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-84 in pdf
  • Explaining Boris Pasternak's Observation that Complex Ideas Are Sometimes Easier to Understand

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-83 in pdf
  • From Equations to Tri-quations and Multi-quations

    Mourat Tchoshanov, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-82 in pdf
  • Why the Graph Isomorphism Problem Is Easier Than Propositional Satisfiability: A Possible Qualitative Explanation

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-15-81 in pdf
  • Decision Making under Interval (and More General) Uncertainty: Monetary vs. Utility Approaches

    Vladik Kreinovich

    link to abstract | UTEP-CS-15-80 in pdf | UTEP-CS-15-80a in pdf
  • On the Importance of Duality and Multi-Ality In Mathematics Education

    Mourat Tchoshanov, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-79 in pdf
  • Towards Making Theory of Computation Course More Understandable and Relevant: Recursive Functions, For-Loops, and While-Loops

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-15-78 in pdf
  • How to Explain The Empirical Success of Generalized Trigonometric Functions in Processing Discontinuous Signals

    Pedro Barragan Olague and Vladik Kreinovich

    link to abstract | UTEP-CS-15-77 in pdf
  • How to Compute von Neumann-Morgenstern Solutions

    Martha Osegueda Escobar and Vladik Kreinovich

    link to abstract | UTEP-CS-15-76 in pdf
  • How to Make Sure That Everyone Works Towards a Common Goal: Towards Optimal Incentives

    Christian Servin and Vladik Kreinovich

    link to abstract | UTEP-CS-15-75 in pdf
  • How to Modify Data Processing Algorithms So That They Detect Only Dependencies Which Make Sense to Domain Experts

    Geovany Ramirez, Craig Tweedie, Jason Carlsson, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-74 in pdf
  • A Possible Utility-Based Explanation of Deaton's Paradox (and Habits of Mind)

    Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-73 in pdf
  • How to Divide a Territory: an Argument in Favor of Private Property

    Mahdokht Afravi and Vladik Kreinovich

    link to abstract | UTEP-CS-15-72 in pdf
  • How to Take Into Account Student's Degree of Confidence When Grading Exams

    Olga Kosheleva, Joe Lorkowski, Viannette Felix, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-71 in pdf
  • Oscillating Exam Averages and Their Control-Theory Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-70 in pdf
  • Conditional Dimension in Metric Spaces: A Natural Metric-Space Counterpart of Kolmogorov-Complexity-Based Mutual Dimension

    Vladik Kreinovich, Luc Longpre, and Olga Kosheleva

    link to abstract | UTEP-CS-15-69 in pdf
  • Constructive Mathematics Is Seemingly Simple but There Are Still Open Problems: Kreisel's Observation Explained

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-68 in pdf
  • Occam's Razor Explains Matthew Effect

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-67 in pdf
  • Combining Interval and Probabilistic Uncertainty: What Is Computable?

    Vladik Kreinovich, Andrzej Pownuk, and Olga Kosheleva

    link to abstract | UTEP-CS-15-66 in pdf | UTEP-CS-15-66a in pdf
  • Paradox of Choice: A Possible Explanation

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-15-65 in pdf
  • Solving Equations (and Systems of Equations) Under Uncertainty: How Different Practical Problems Lead to Different Mathematical and Computational Formulations

    Vladik Kreinovich

    link to abstract | UTEP-CS-15-64 in pdf | UTEP-CS-15-64a in pdf
  • Invariance Explains Multiplicative and Exponential Skedactic Functions

    Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, and Songsak Sriboonchitta

    link to abstract | UTEP-CS-15-63 in pdf
  • Gazelle Companies: What Is So Special About the 20% Threshold?

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-62 in pdf
  • Why Political Scientists Are Wrong 15% of the Time

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-61 in pdf
  • Al-Sijistani's and Maimonides's Double Negation Theology Explained by Constructive Logic

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-60 in pdf
  • Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex Non-Linear Economic and Financial Phenomena: A Fuzzy-Based Explanation

    H. T. Nguyen, V. Kreinovich, O. Kosheleva, and S. Sriboonchitta

    link to abstract | UTEP-CS-15-59 in pdf
  • Fuzzy Xor Classes from Quantum Computing

    Anderson Avila, Murilo Schmalfuss, Renata Reiser, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-58 in pdf
  • Student Autonomy Improves Learning: A Theoretical Justification of the Empirical Results

    Octavio Lerma and Vladik Kreinovich

    link to abstract | UTEP-CS-15-57 in pdf
  • Comparisons of Measurement Results as Constraints on Accuracies of Measuring Instruments: When Can We Determine the Accuracies from These Constraints?

    Christian Servin and Vladik Kreinovich

    link to abstract | UTEP-CS-15-56 in pdf
  • Why Deep Neural Networks: A Possible Theoretical Explanation

    Chitta Baral, Olac Fuentes, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-55 in pdf
  • Dow Theory's Peak-and-Trough Analysis Justified

    Chrysostomos D. Stylios and Vladik Kreinovich

    link to abstract | UTEP-CS-15-54 in pdf
  • How to Gauge Disruptions Caused by Garbage Collection: Towards an Efficient Algorithm

    Gabriel Arellano, Edward Hudgins, David Pruitt, Adrian Veliz, Eric Freudenthal, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-53 in pdf
  • When Should We Switch from Interval-Valued Fuzzy to Full Type-2 Fuzzy (e.g., Gaussian)?

    Vladik Kreinovich and Chrysostomos D. Stylios

    link to abstract | UTEP-CS-15-52 in pdf
  • Towards A Physics-Motivated Small-Velocities Approximation to General Relativity

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-15-51 in pdf
  • Why We Need Extra Physical Dimensions: A Simple Geometric Explanation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-50 in pdf
  • What Is Computable? What Is Feasibly Computable? A Physicist's Viewpoint

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-15-49 in pdf | UTEP-CS-15-49a in pdf
  • Why Awe Makes People More Generous: Utility Theory Can Explain Recent Experiments

    Joe Lorkowski and Vladik Kreinovich

    link to abstract | UTEP-CS-15-48 in pdf
  • Across-the-Board Spending Cuts Are Very Inefficient: A Proof

    Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, and Songsak Sriboonchitta

    link to abstract | UTEP-CS-15-47 in pdf
  • Why Fuzzy Cognitive Maps Are Efficient

  • Vladik Kreinovich and Chrysostomos D. Stylios

    link to abstract | UTEP-CS-15-46 in pdf
  • In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas)

    Joe Lorkowski, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-15-45 in pdf | UTEP-CS-15-45a in pdf
  • What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard

    Martine Ceberio, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, and Rujira Ouncharoen

    link to abstract | UTEP-CS-15-44 in pdf | UTEP-CS-15-44a in pdf
  • Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem

    Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, and Olga Kosheleva

    link to abstract | UTEP-CS-15-43 in pdf
  • Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation

    Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, and Songsak Sriboonchitta

    link to abstract | UTEP-CS-15-42 in pdf
  • Standing on the Shoulders of the Giants: Why Constructive Mathematics, Probability Theory, Interval Mathematics, and Fuzzy Mathematics Are Important

    Vladik Kreinovich

    link to abstract | UTEP-CS-15-41 in pdf | UTEP-CS-15-41a in pdf
  • Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation

    Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, and Songsak Sriboonchitta

    link to abstract | UTEP-CS-15-40 in pdf | UTEP-CS-15-40a in pdf | UTEP-CS-15-40b in pdf
  • Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency

    Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, and Olga Kosheleva

    link to abstract | UTEP-CS-15-39 in pdf | UTEP-CS-15-39a in pdf | UTEP-CS-15-39b in pdf
  • We Live in the Best of Possible Worlds: Leibniz's Insight Helps to Derive Equations of Modern Physics

    Vladik Kreinovich and Guoqing Liu

    link to abstract | UTEP-CS-15-38 in pdf | UTEP-CS-15-38a in pdf
  • How to take into account model inaccuracy when estimating the uncertainty of the result of data processing

    Vladik Kreinovich, Olga Kosheleva, Andrzej Pownuk, and Rodrigo Romero

    link to abstract | UTEP-CS-15-37 in pdf | UTEP-CS-15-37a in pdf
    UTEP-CS-15-37b in pdf | UTEP-CS-15-37c in pdf
  • Optimizing Cloud Use under Interval Uncertainty

    Vladik Kreinovich and Esthela Gallardo

    link to abstract | UTEP-CS-15-36 in pdf | UTEP-CS-15-36a in pdf
  • A Simplified Explanation of What It Means to Assign a Finite Value to an Infinite Sum

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-35 in pdf
  • How to Take Into Account a Student's Degree of Certainty When Evaluating the Test Results

    Joe Lorkowski, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-34 in pdf | UTEP-CS-15-34a in pdf
  • A Corpus for Investigating English-Language Learners' Dialog Behaviors

    Nigel G. Ward and Paola Gallardo

    link to abstract | UTEP-CS-15-33 in pdf
  • Sometimes, It Is Beneficial to Process Different Types of Uncertainty Separately

    Chrysostomos D. Stylios, Andrzej Pownuk, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-32 in pdf | UTEP-CS-15-32a in pdf
  • Once We Know that a Polynomial Mapping Is Rectifiable, We Can Algorithmically Find a Rectification

    Julio Urenda, David Finston, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-31 in pdf
  • When Can We Simplify Data Processing: An Algorithmic Answer

    Julio Urenda, Olga Kosheleva, Vladik Kreinovich, and Berlin Wu

    link to abstract | UTEP-CS-15-30 in pdf
  • Symbolic Aggregate ApproXimation (SAX) under Interval Uncertainty

    Chrysostomos D. Stylios and Vladik Kreinovich

    link to abstract | UTEP-CS-15-29 in pdf | UTEP-CS-15-29a in pdf
  • Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation

    Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, and Songsak Sriboonchitta

    link to abstract | UTEP-CS-15-28 in pdf
  • Analysis of Random Metric Spaces Explains Emergence Phenomenon and Suggests Discreteness of Physical Space

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-27 in pdf
  • Why Big-O and Little-O in Algorithm Complexity: A Pedagogical Remark

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-26 in pdf
  • Why It Is Important to Precisiate Goals

    Olga Kosheleva, Vladik Kreinovich, and Hung T. Nguyen

    link to abstract | UTEP-CS-15-25 in pdf | UTEP-CS-15-25a in pdf
  • Setting Up a Highly Configurable, Scalable Nimbus Cloud Test Bed Running on a MANET

    Joshua McKee

    link to abstract | UTEP-CS-15-24 in pdf
  • Simple Linear Interpolation Explains All Usual Choices in Fuzzy Techniques: Membership Functions, t-Norms, t-Conorms, and Defuzzification

    Vladik Kreinovich, Jonathan Quijas, Esthela Gallardo, Caio De Sa Lopes, Olga Kosheleva, and Shahnaz Shahbazova

    link to abstract | UTEP-CS-15-23 in pdf | UTEP-CS-15-23a in pdf
  • Coming Up with a Good Question Is Not Easy: A Proof

    Joe Lorkowski, Luc Longpre, Olga Kosheleva, and Salem Benferhat

    link to abstract | UTEP-CS-15-22 in pdf
  • From 1-D to 2-D Fuzzy: A Proof that Interval-Valued and Complex-Valued Are the Only Distributive Options

    Christian Servin, Vladik Kreinovich, and Olga Kosheleva

    link to abstract | UTEP-CS-15-21 in pdf | UTEP-CS-15-21a in pdf
  • How to Speed Up Software Migration and Modernization: Successful Strategies Developed by Precisiating Expert Knowledge

    Francisco Zapata, Octavio Lerma, Leobardo Valera, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-20 in pdf | UTEP-CS-15-20a in pdf
  • How to Estimate Expected Shortfall When Probabilities Are Known with Interval or Fuzzy Uncertainty

    Christian Servin, Hung T. Nguyen, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-19 in pdf | UTEP-CS-15-19a in pdf
  • Creative Discussions or Memorization? Maybe Both? (on the example of teaching Computer Science)

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-15-18 in pdf | UTEP-CS-15-18a in pdf
  • Why Sugeno lambda-Measures

    Hung T. Nguyen, Vladik Kreinovich, Joe Lorkowski, and Saiful Abu

    link to abstract | UTEP-CS-15-17 in pdf | UTEP-CS-15-17a in pdf
  • Which Bio-Diversity Indices Are Most Adequate

    Olga Kosheleva, Craig Tweedie, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-16 in pdf | UTEP-CS-15-16a in pdf
  • Our Reasoning is Clearly Fuzzy, so Why Is Crisp Logic So Often Adequate?

    Hung T. Nguyen, Berlin Wu, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-15 in pdf
  • A Natural Simple Model of Scientists' Strength Leads to Skew-Normal Distribution

    Komsan Suriya, Tatcha Sudtasan, Tonghui Wang, Octavio Lerma, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-14 in pdf
  • Adding possibilistic knowledge to probabilities makes many problems algorithmically decidable

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-13 in pdf | UTEP-CS-15-13a in pdf
  • Model reduction: why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs)

    M. Ceberio, L. Valera, O. Kosheleva, and R. Romero

    link to abstract | UTEP-CS-15-12 in pdf | UTEP-CS-15-12a in pdf
  • How geophysicists' intuition helps seismic data processing

    Afshin Gholamy and Vladik Kreinovich

    link to abstract | UTEP-CS-15-11 in pdf | UTEP-CS-15-11a in pdf
  • How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model

    Joe Lorkowski, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-10 in pdf | UTEP-CS-15-10a in pdf
  • How to Test Hypotheses When Exact Values are Replaced by Intervals to Protect Privacy: Case of t-Tests

    Vladik Kreinovich and Christian Servin

    link to abstract | UTEP-CS-15-09 in pdf
  • Constraint Approach to Multi-Objective Optimization

    Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-08 in pdf
  • Testing a Power Law Model of Knowledge Propagation: Case Study of the Out of Eden Walk Project

    Octavio Lerma, Leobardo Valera, Deana Pennington, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-07 in pdf
  • Optimizing pred(25) Is NP-Hard

    Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-06 in pdf
  • Why Right-Brain Cultures Are More Flexible: A Possible Explanation of Yu. Manin's Observation

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-05 in pdf
  • When an Idea Comes, Write It Down Right Away: Mathematical Justification of Vladimir Smirnov's Advice

    Olga Kosheleva and Vladik Kreinovich

    link to abstract | UTEP-CS-15-04 in pdf
  • Wiener-Process-Type Evasive Aircraft Actions Are Indeed Optimal Against Anti-Aircraft Guns: Wiener's Data Revisited

    Vladik Kreinovich and Olga Kosheleva

    link to abstract | UTEP-CS-15-03 in pdf
  • Fuzzy (and interval) techniques in the age of big data: an overview with applications to environmental science, geosciences, engineering, and medicine

    Vladik Kreinovich and Rujira Ouncharoen

    link to abstract | UTEP-CS-15-02 in pdf
  • Towards the Possibility of Objective Interval Uncertainty

    Luc Longpre, Olga Kosheleva, and Vladik Kreinovich

    link to abstract | UTEP-CS-15-01 in pdf | UTEP-CS-15-01b in pdf