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Australian Multicenter Study of Isolated Limb Infusion for Melanoma

ANNALS OF SURGICAL ONCOLOGY 2016年第4期23卷 1096-1103页

作者： Kroon, Hidde M. Coventry, Brendon J. Giles, Mitchell H. Henderson, Michael A. Speakman, David Wall, Mark Barbour, Andrew Serpell, Jonathan Paddle, Paul Coventry, Alexander G. J. Sullivan, Thomas Smithers, Bernard Mark Thompson, John F. Univ Adelaide Royal Adelaide Hosp Discipline Surg Adelaide SA Australia Univ Melbourne Dept Surg Peter MacCallum Canc Ctr Div Surg Oncol Melbourne Vic Australia Univ Queensland Princess Alexandra Hosp Discipline Surg Queensland Melanoma Project Brisbane Qld Australia Alfred Hosp Discipline Surg Melbourne Vic Australia Univ Adelaide Discipline Publ Hlth Stat Data Management & Anal Ctr Adelaide SA Australia Melanoma Inst Australia Sydney NSW Australia Univ Sydney Discipline Surg Sydney NSW 2006 Australia Royal Prince Alfred Hosp Dept Melanoma & Surg Oncol Camperdown NSW 2050 Australia

Isolated limb infusion (ILI) offers a less invasive alternative to isolated limb perfusion (ILP) for the treatment of locally advanced extremity melanoma. In Australia, ILI has essentially completely replaced ILP. The aim of this study was to collect and evaluate the results of ILI in an Australian multicenter setting. The results of 316 first ILI procedures, performed between 1992 and 2008 in five Australian institutions, were collectively analyzed, with all five institutions using the same protocol. Melphalan was circulated in the isolated limb for 20-30 min (+/- actinomycin D). Response was determined using the World Health Organization criteria, and limb toxicity was assessed using the Wieberdink scale. The median patient age was 74 years (range 28-100) and 59 % of patients were female. Overall response rate was 75 % (complete response [CR] 33 %;partial response 42 %). Stable disease was seen in 18 % of patients and progressive disease in 7 %. Wieberdink grade III or higher was seen in 30 % of the cases. No toxicity-related amputations occurred, and median survival was 44 months. In patients with a CR, median survival was 80 months (p = 0.014). On multivariate analysis, Breslow thickness, lower-limb ILI, and a procedure performed at the Melanoma Institute Australia remained significant predictors for response, although not for survival. This Australian multicenter study of ILI is the largest reported to date. ILI is a useful technique that can be safely and effectively performed across tertiary referral centers for the successful management of advanced extremity melanoma. Increased optimization of perioperative factors might allow response rates to be raised further, while maintaining acceptable toxicity.

关键词： isolated limb infusion Melanoma inductive logic programming Australian Multicenter Study

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Online learning of event definitions

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THEORY AND PRACTICE OF logic programming 2016年第5-6期16卷 817-833页

作者： Katzouris, Nikos Artikis, Alexander Paliouras, Georgios Univ Athens Dept Informat & Telecommun Athens Greece Univ Piraeus Dept Maritime Studies Piraeus Greece Natl Ctr Sci Res Demokritos Inst Informat & Telecommun Athens Greece

Systems for symbolic event recognition infer occurrences of events in time using a set of event definitions in the form of first-order rules. The Event Calculus is a temporal logic that has been used as a basis in event recognition applications, providing among others, direct connections to machine learning, via inductive logic programming (ILP). We present an ILP system for online learning of Event Calculus theories. To allow for a single-pass learning strategy, we use the Hoeffding bound for evaluating clauses on a subset of the input stream. We employ a decoupling scheme of the Event Calculus axioms during the learning process, that allows to learn each clause in isolation. Moreover, we use abductive-inductive logic programming techniques to handle unobserved target predicates. We evaluate our approach on an activity recognition application and compare it to a number of batch learning techniques. We obtain results of comparable predicative accuracy with significant speed-ups in training time. We also outperform hand-crafted rules and match the performance of a sound incremental learner that can only operate on noise-free datasets.

关键词： inductive logic programming Event Calculus Online Learning

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Formulating Description logic Learning as an inductive logic programming Task

Formulating Description Logic Learning as an Inductive Logic...

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2010 IEEE World Congress on Computational Intelligence

作者： Konstantopoulos, Stasinos Charalambidis, Angelos NCSR Demokritos Aghia Paraskevi Inst Informat & Telecommun Athens 15310 Greece

ISBN: (纸本)9781424469208

We describe an inductive logic programming (ILP) approach to learning descriptions in Description logics (DL) under uncertainty. The approach is based on implementing many-valued DL proofs as propositionalizations of the elementary DL constructs and then providing this implementation as background predicates for ILP. The proposed methodology is tested on a many-valued variation of eastbound-trains and Iris, two well known and studied Machine Learning datasets.

关键词： description logic learning eastbound-trains inductive logic programming inductive logic programming task learning (artificial intelligence) machine learning datasets many-valued DL proofs multivalued logic

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Constraint Models for Reasoning on Unification in inductive logic programming

Constraint Models for Reasoning on Unification in Inductive ...

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14th International Conference on Artificial Intelligence - Methodology, Systems, Applications (AIMSA)

作者： Bartak, Roman Charles Univ Prague Fac Math & Phys Prague 11800 1 Czech Republic

ISBN: (纸本)9783642154300

inductive logic programming (ILP) deals with the problem of finding a hypothesis covering all positive examples and excluding negative examples. One of the sub-problems is specifying the structure of the hypothesis, that is, the choice of atoms and position of variables in the atoms. In this paper we suggest using constraint satisfaction to describe which variables are unified in the hypotheses. This corresponds to finding the position of variables in atoms. In particular, we present a constraint model with index variables accompanied by a Boolean model to strengthen inference and hence improve efficiency. The efficiency of models is demonstrated experimentally.

关键词： constraint modelling inductive logic programming meta-reasoning

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Elastic Virtual Machine Scheduling for Continuous Air Traffic Optimization 16

Elastic Virtual Machine Scheduling for Continuous Air Traffi...

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16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)

作者： Imai, Shigeru Patterson, Stacy Varela, Carlos A. Rensselaer Polytech Inst Dept Comp Sci Troy NY 12181 USA

ISBN: (纸本)9781509024537

As we are facing ever increasing air traffic demand, it is critical to enhance air traffic capacity and alleviate human controllers' workload by viewing air traffic optimization as a continuous/online streaming problem. Air traffic optimization is commonly formulated as an integer linear programming (ILP) problem. Since ILP is NP-hard, it is computationally intractable. Moreover, a fluctuating number of flights changes computational demand dynamically. In this paper, we present an elastic middleware framework that is specifically designed to solve ILP problems generated from continuous air traffic streams. Experiments show that our VM scheduling algorithm with time-series prediction can achieve similar performance to a static schedule while using 49% fewer VM hours for a realistic air traffic pattern.

关键词： Predictive models Optimization Scheduling algorithms Prediction algorithms Sparks Cloud computing air traffic Prediction algorithms Scheduling algorithms sparks Prediction models Cloud Computing virtual machines machine scheduling inductive logic programming

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Interpretable Models to Predict Breast Cancer

Interpretable Models to Predict Breast Cancer

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IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)

作者： Ferreira, Pedro Dutra, Ines Salvini, Rogerio Burnside, Elizabeth CRACS INESC TEC Oporto Portugal Univ Porto DCC FC Oporto Portugal Univ Wisconsin Sch Med Madison WI USA Univ Fed Goias Jatai Go Brazil

ISBN: (纸本)9781509016105

Several works in the literature use propositional ("black box") approaches to generate prediction models. In this work we employ the inductive logic programming technique, whose prediction model is based on first order rules, to the domain of breast cancer. These rules have the advantage of being interpretable and convenient to be used as a common language between the computer scientists and the medical experts. We also explore the relevance of some of variables usually collected to predict breast cancer. We compare our results with a propositional classifier that was considered best for the same dataset studied in this paper.

关键词： inductive logic programming machine learning mammography BI-RADS

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Privacy Dynamics: Learning Privacy Norms for Social Software 11

Privacy Dynamics: Learning Privacy Norms for Social Software

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11th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)

作者： Calikli, Gul Law, Mark Bandara, Arosha K. Russo, Alessandra Dickens, Luke Price, Blaine A. Stuart, Avelie Levine, Mark Nuseibeh, Bashar Open Univ Comp & Commun Milton Keynes Bucks England Imperial Coll Dept Comp London England UCL London England Univ Exeter Psychol Exeter Devon England Univ Limerick Lero Limerick Ireland

ISBN: (纸本)9781450341875

Privacy violations in online social networks (OSNs) often arise as a result of users sharing information with unintended audiences. One reason for this is that, although OSN capabilities for creating and managing social groups can make it easier to be selective about recipients of a given post, they do not provide enough guidance to the users to make informed sharing decisions. In this paper we present Privacy Dynamics, an adaptive architecture that learns privacy norms for different audience groups based on users' sharing behaviours. Our architecture is underpinned by a formal model inspired by social identity theory, a social psychology framework for analysing group processes and intergroup relations. Our formal model comprises two main concepts, the group membership as a Social Identity (SI) map and privacy norms as a set of conflict rules. In our approach a privacy norm is specified in terms of the information objects that should be prevented from flowing between two conflicting social identity groups. We implement our formal model by using inductive logic programming (ILP), which automatically learns privacy norms. We evaluate the performance of our learning approach using synthesised data representing the sharing behaviour of social network users.

关键词： Adaptive privacy online social networks inductive logic programming social identity theory

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Online learning of event definitions

Online learning of event definitions

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32nd International Conference on logic programming (ICLP)

关键词： inductive logic programming Event Calculus Online Learning

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Experience-based Learning of Symbolic Numerical Constraints 16

Experience-based Learning of Symbolic Numerical Constraints

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16th IEEE-RAS International Conference on Humanoid Robots (Humanoids)

作者： Solak, Gokhan Ak, Abdullah Cihan Sariel, Sanem Istanbul Tech Univ Artificial Intelligence & Robot Lab Comp Engn Dept Istanbul Turkey

ISBN: (纸本)9781509047185

Learning symbolic-level numerical constraints is key to use abstractions in effective reasoning and transfer of knowledge for robot systems. We investigate this problem in an experience-based learning framework which uses inductive logic programming as the learning method. Our particular focus is on learning numerical constraints which is an open issue for ILP systems. Some approaches overcome this by using background knowledge given by domain experts. However, using expert knowledge is both expensive and domain dependent. To obtain more general solutions, numerical constraints should be induced by the robot system itself. For this purpose, we present a constraint induction method based on lazy evaluation, designed for deriving general numerical constraints from observations. We extend Aleph, an existing ILP system based on inverse entailment, with a constraint induction approach using a constraint solver. We analyze our method on some sample scenarios and demonstrate the cases where our method can induce the target concept while the prior lazy evaluation method cannot. Our results indicate that our method can generalize numerical constraints by the self observations of robots.

关键词： experience-based learning inductive logic programming numerical reasoning in robots

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Intra-Frame Sharing for Low-Complexity Decoding of SHVC Video

Intra-Frame Sharing for Low-Complexity Decoding of SHVC Vide...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Luong Pham Van De Praeter, Johan Van Wallendael, Glenn Alface, Patrice Rondao Lambert, Peter Univ Ghent iMinds ELIS Multimedia Lab Ghent Belgium Alcatel Lucent Bell Labs Antwerp Belgium

ISBN: (纸本)9781467383646

Scalable video coding provides an efficient adaptation solution for delivering video to consumer devices with a great variety of characteristics. This technique encodes video using a base layer and several enhancement layers with different qualities. In order to reduce the total bit rate of the video stream, inter layer prediction (ILP) is enabled. However, the introduction of ILP results in a high decoding complexity since multiple layers need to be decoded at the same time. In this paper, we propose a method to reduce the decoding complexity of the scalable video stream by sharing the intra frame between layers and eliminating all other inter-layer dependencies. The experimental results show that the proposed method results in a video stream with a lower bit rate than a simulcast approach. Additionally, this approach reduces the decoder complexity compared to scalable video compression.

关键词： Bit rate Videotapes DECODING scalable video BASE COURSE inductive logic programming Simultaneous broadcasting Video stream scalable video coding Video compression

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